National Library of Energy BETA

Sample records for rank mining method

  1. Hydraulic mining method

    DOE Patents [OSTI]

    Huffman, Lester H. (Kent, WA); Knoke, Gerald S. (Kent, WA)

    1985-08-20

    A method of hydraulically mining an underground pitched mineral vein comprising drilling a vertical borehole through the earth's lithosphere into the vein and drilling a slant borehole along the footwall of the vein to intersect the vertical borehole. Material is removed from the mineral vein by directing a high pressure water jet thereagainst. The resulting slurry of mineral fragments and water flows along the slant borehole into the lower end of the vertical borehole from where it is pumped upwardly through the vertical borehole to the surface.

  2. Evaluating ranking methods on heterogeneous digital library collections

    E-Print Network [OSTI]

    Canévet, Olivier; Marian, Ludmila; Chonavel, Thierry

    In the frame of research in particle physics, CERN has been developing its own web-based software /Invenio/ to run the digital library of all the documents related to CERN and fundamental physics. The documents (articles, photos, news, thesis, ...) can be retrieved through a search engine. The results matching the query of the user can be displayed in several ways: sorted by latest first, author, title and also ranked by word similarity. The purpose of this project is to study and implement a new ranking method in Invenio: distributed-ranking (D-Rank). This method aims at aggregating several ranking scores coming from different ranking methods into a new score. In addition to query-related scores such as word similarity, the goal of the work is to take into account non-query-related scores such as citations, journal impact factor and in particular scores related to the document access frequency in the database. The idea is that for two equally query-relevant documents, if one has been more downloaded for inst...

  3. Analysis of Some Methods for Reduced Rank Gaussian Process Regression

    E-Print Network [OSTI]

    Analysis of Some Methods for Reduced Rank Gaussian Process Regression Joaquin Qui~nonero-Candela1 there is strong motivation for using Gaussian Pro- cesses (GPs) due to their excellent performance in regression-effective ap- proximations to GPs, both for classification and for regression. In this paper we analyze one

  4. Method of locating underground mines fires

    DOE Patents [OSTI]

    Laage, Linneas (Eagam, MN); Pomroy, William (St. Paul, MN)

    1992-01-01

    An improved method of locating an underground mine fire by comparing the pattern of measured combustion product arrival times at detector locations with a real time computer-generated array of simulated patterns. A number of electronic fire detection devices are linked thru telemetry to a control station on the surface. The mine's ventilation is modeled on a digital computer using network analysis software. The time reguired to locate a fire consists of the time required to model the mines' ventilation, generate the arrival time array, scan the array, and to match measured arrival time patterns to the simulated patterns.

  5. Method of underground mining by pillar extraction

    DOE Patents [OSTI]

    Bowen, Ray J. (1879 Delann, Salt Lake City, UT 84121); Bowen, William R. (1636 Sunnydale La., Salt Lake City, UT 84108)

    1980-08-12

    A method of sublevel caving and pillar and top coal extraction for mining thick coal seams includes the advance mining of rooms and crosscuts along the bottom of a seam to a height of about eight feet, and the retreat mining of the top coal from the rooms, crosscuts and portions of the pillars remaining from formation of the rooms and cross-cuts. In the retreat mining, a pocket is formed in a pillar, the top coal above the pocket is drilled, charged and shot, and then the fallen coal is loaded by a continuous miner so that the operator remains under a roof which has not been shot. The top coal from that portion of the room adjacent the pocket is then mined, and another pocket is formed in the pillar. The top coal above the second pocket is mined followed by the mining of the top coal of that portion of the room adjacent the second pocket, all by use of a continuous miner which allows the operator to remain under a roof portion which has not been shot.

  6. ECML TextMining Workshop, Chemnitz, 1998 Evaluation of four clustering methods used in text mining

    E-Print Network [OSTI]

    Turenne, Nicolas

    ECML TextMining Workshop, Chemnitz, 1998 Evaluation of four clustering methods used in text mining according the real-world. Keywords: conceptual clustering ; data mining ; knowledge structuration an acute need in concept extraction and text mining. The paper presents an evaluation of four clustering

  7. An Extreme Point Tabu Search Method for Data Mining

    E-Print Network [OSTI]

    Mitchell, John E.

    An Extreme Point Tabu Search Method for Data Mining Kristin P. Bennett \\Lambda Jennifer A. Blue error of all the decisions in the tree concurrently. Decision trees are ideal for data­mining because optimize existing decision trees. This capability can be used in data mining for avoiding overfitting

  8. Patent data mining method and apparatus

    DOE Patents [OSTI]

    Boyack, Kevin W. (Albuquerque, NM); Grafe, V. Gerald (Corrales, NM); Johnson, David K. (Albuquerque, NM); Wylie, Brian N. (Albuquerque, NM)

    2002-01-01

    A method of data mining represents related patents in a multidimensional space. Distance between patents in the multidimensional space corresponds to the extent of relationship between the patents. The relationship between pairings of patents can be expressed based on weighted combinations of several predicates. The user can select portions of the space to perceive. The user also can interact with and control the communication of the space, focusing attention on aspects of the space of most interest. The multidimensional spatial representation allows more ready comprehension of the structure of the relationships among the patents.

  9. Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method

    E-Print Network [OSTI]

    Lu, Jianguo

    Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method Jianguo Lu Preprint submitted to Elsevier March 12, 2010 #12;Ranking Bias in Deep Web Size Estimation Using Capture Recapture, Canada. email: jlu@uwindsor.ca Abstract Many deep web data sources are ranked data sources, i

  10. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    2000-01-01

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  11. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, A.J.; Richards, J.M.

    1999-01-26

    A process is described for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process. 3 figs.

  12. Stabilized thermally beneficiated low rank coal and method of manufacture

    DOE Patents [OSTI]

    Viall, Arthur J. (Colstrip, MT); Richards, Jeff M. (Colstrip, MT)

    1999-01-01

    A process for reducing the spontaneous combustion tendencies of thermally beneficiated low rank coals employing heat, air or an oxygen containing gas followed by an optional moisture addition. Specific reaction conditions are supplied along with knowledge of equipment types that may be employed on a commercial scale to complete the process.

  13. MINING METHODS USED IN THE UNDERGROUND TUNNELS AND TEST ROOMS AT STRIPA

    E-Print Network [OSTI]

    Andersson, B.

    2011-01-01

    Project RepOJ;t. No. S . . MINING METHODS USED IN THE4S l' lb !. ' at LBL-7081 SAC-08 MINING METHODS USED IN THEnot known exactly when mining started there, records Maximum

  14. Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines

    E-Print Network [OSTI]

    Owladeghaffari, H; Saeedi, G H R

    2008-01-01

    Approximately more than 90% of all coal production in Iranian underground mines is derived directly longwall mining method. Out of seam dilution is one of the essential problems in these mines. Therefore the dilution can impose the additional cost of mining and milling. As a result, recognition of the effective parameters on the dilution has a remarkable role in industry. In this way, this paper has analyzed the influence of 13 parameters (attributed variables) versus the decision attribute (dilution value), so that using two approximate reasoning methods, namely Rough Set Theory (RST) and Self Organizing Neuro- Fuzzy Inference System (SONFIS) the best rules on our collected data sets has been extracted. The other benefit of later methods is to predict new unknown cases. So, the reduced sets (reducts) by RST have been obtained. Therefore the emerged results by utilizing mentioned methods shows that the high sensitive variables are thickness of layer, length of stope, rate of advance, number of miners, type of...

  15. Prediction of Forest Fires using Data Mining Methods

    E-Print Network [OSTI]

    McLeod, Ian

    Prediction of Forest Fires using Data Mining Methods By Hye Rin Kim Supervised by Dr. McLeod Master's Project July 2009 #12;Contents 1 Executive Summary 2 2 Introduction 2 2.1 Forest Fire Data . . . . . . . . . . . . . . . . . . . . . 11 5 Conclusion 13 6 References 14 1 #12;1 Executive Summary Forest fires are a major environmental

  16. Enhancing Online Learning Performance: An Application of Data Mining Methods1

    E-Print Network [OSTI]

    Enhancing Online Learning Performance: An Application of Data Mining Methods1 Behrouz Minaei collect vast amounts of data on user patterns, and data mining methods can be applied to these databases homework and exam problems. The main purpose of data mining is to discover the hidden relationships among

  17. Fuzzy Methods in Machine Learning and Data Mining: Status and Prospects

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    Fuzzy Methods in Machine Learning and Data Mining: Status and Prospects Eyke H theory can make to machine learning, data mining, and related fields. The paper concludes with a crit mining, the application of computational tech- niques to the task of finding patterns and models in data

  18. USING GEOPHYSICAL METHODS TO IMAGE THE INTERNAL STRUCTURE OF MINE WASTE ROCK PILES

    E-Print Network [OSTI]

    Aubertin, Michel

    (GPR) geophysical methods have been used to study mine dumps. METHODS Resistivity measurements, at the same time as an infiltration test was carried out in order to map fluid flow within the mine dump out in July 2002, and in October 2002 before and after the infiltration test. Figure 3 shows a GPR

  19. Data Mining Group VNG Corporation

    E-Print Network [OSTI]

    Shahabi, Cyrus

    Data Mining Group VNG Corporation Data Mining Group_VNG Corporation 1 #12;Data Mining Group_VNG Corporation 2 1 ·Introduction 2 ·Edge Rank 3 ·Parameter Estimate 4 ·Conclusion #12;Data Mining Group_VNG Corporation 3 #12;Data Mining Group_VNG Corporation 4 #12; User's self activity Update status Write blogs

  20. Solution mining systems and methods for treating hydrocarbon containing formations

    DOE Patents [OSTI]

    Vinegar, Harold J. (Bellaire, TX); de Rouffignac, Eric Pierre (Rijswijk, NL); Schoeling, Lanny Gene (Katy, TX)

    2009-07-14

    A method for treating an oil shale formation comprising nahcolite is disclosed. The method includes providing a first fluid to a portion of the formation through at least two injection wells. A second fluid is produced from the portion through at least one injection well until at least two injection wells are interconnected such that fluid can flow between the two injection wells. The second fluid includes at least some nahcolite dissolved in the first fluid. The first fluid is injected through one of the interconnected injection wells. The second fluid is produced from at least one of the interconnected injection wells. Heat is provided from one or more heaters to the formation to heat the formation. Hydrocarbon fluids are produced from the formation.

  1. Case studies of sealing methods and materials used in the salt and potash mining industries

    SciTech Connect (OSTI)

    Eyermann, T.J.; Sambeek, L.L. Van [RE/SPEC Inc., Rapid City, SD (United States); Hansen, F.D. [Sandia National Labs., Albuquerque, NM (United States). Repository Isolation Systems Dept.

    1995-11-01

    Sealing methods and materials currently used in salt and potash industries were surveyed to determine if systems analogous to the shaft seal design proposed for the Waste Isolation Pilot Plant (WIPP) exist. Emphasis was first given to concrete and then expanded to include other materials. Representative case studies could provide useful design, construction, and performance information for development of the WIPP shaft seal system design. This report contains a summary of engineering and construction details of various sealing methods used by mining industries for bulkheads and shaft liners. Industrial experience, as determined from site visits and literature reviews, provides few examples of bulkheads built in salt and potash mines for control of water. Sealing experiences representing site-specific conditions often have little engineering design to back up the methods employed and even less quantitative evaluation of seal performance. Cases examined include successes and failures, and both contribute to a database of experiences. Mass salt-saturated concrete placement under ground was accomplished under several varied conditions. Information derived from this database has been used to assess the performance of concrete as a seal material. Concrete appears to be a robust material with successes in several case studies. 42 refs.

  2. Engineering geologic feasibility of lignite mining in alluvial valleys by hydraulic dredging methods 

    E-Print Network [OSTI]

    Cason, Cynthia Lynn

    1982-01-01

    Stability . Sediment Volume Changes Conventional Lignite Mining Technology Dragline Bucket wheel Excavator . ALLUVIAL VALLEY SEDIMENTS Environment of Deposition Engineering Geology of Alluvial Valley Sediments Disadvantages of Applying Conventional... on samples with varying percentages of sand 54 33 Ultimate percent swell v. highwall height for varying percentages of sand in the overburden spoil . . . . . . . 55 34 Area lignite surface mining with a walking dragline and truck/shovel operations...

  3. Mining | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlands Assessment JulyDepartmentColoradoMining Mining

  4. Parallel Methods for Scaling Data Mining Algorithms to Large Data Sets

    E-Print Network [OSTI]

    Grossman, Robert

    .grossman@acm.org Magnify, Inc. & Laboratory for Advanced Computing/National Center for Data Mining, University of Illinois. Computational Models. The standard model for measuring the complexity of an algorithm is the random access machine model (RAM) (Aho 1974). A RAM model has a single processor with unlimited memory, which can store

  5. Journal of Applied Geophysics 34 (1996) 187-198 DC resistivity and IP methods in acid mine drainage problems

    E-Print Network [OSTI]

    Oldenburg, Douglas W.

    1996-01-01

    in acid mine drainage problems: results from the Copper Cliff mine tailings impoundments Yuval, Douglas W of sulfide minerals in the mine tailings impoundments at Copper Cliff, Ontario generates acidic conditions contribute to the acidity in the oxidizing site and, in the absence of alkalinity to neutralize the acidity

  6. Low rank matrix completion

    E-Print Network [OSTI]

    Nan, Feng, S.M. Massachusetts Institute of Technology

    2009-01-01

    We consider the problem of recovering a low rank matrix given a sampling of its entries. Such problems are of considerable interest in a diverse set of fields including control, system identification, statistics and signal ...

  7. Rank Project Name Directorate,

    E-Print Network [OSTI]

    ,000 0.5 400 lbs industrial waste, eliminates potential for oil contaminated run-off 3 RetrofitRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1 Minimization of Silver Waste from Silver-Staining Electrophoretic Mini-Gels Life Sciences, Biology (B

  8. Rank Journal title Eigenfactor

    E-Print Network [OSTI]

    Rank Journal title 2014 Total Cites 2014 Impact Factor 5-Year Impact Factor Immediacy Index 2013 Articles Cited Half-life Eigenfactor® Score Article Influence® Score 1 JOURNAL OF ECONOMIC LITERATURE 5861 ACADEMY OF MANAGEMENT JOURNAL 22351 6.448 9.812 0.653 72 >10.0 0.02813 5.738 5 QUARTERLY JOURNAL

  9. Rank Journal title Eigenfactor

    E-Print Network [OSTI]

    Rank Journal title 2013 Total Cites 2013 Impact Factor 5-Year Impact Factor Immediacy Index 2013 Articles Cited Half-life Eigenfactor® Score Article Influence® Score 1 JOURNAL OF ECONOMIC LITERATURE 5479 JOURNAL OF ECONOMICS 16827 5.966 9.126 0.775 40 >10.0 0.05316 14.78 5 ACADEMY OF MANAGEMENT JOURNAL 19426

  10. Nuclear Engineering Program Ranking

    E-Print Network [OSTI]

    Evans, Paul G.

    Nuclear Engineering Program Ranking 2 Enrollment Approximately 200 undergraduate students and 120 in Nuclear Engineering (BS) · Bachelor of Science in Engineering Physics (BS) · Master of Science in Nuclear Engineering and Engineering Physics (MS) · Doctor of Philosophy in Nuclear Engineering and Engineering Physics

  11. Characterization of seven United States coal regions. The development of optimal terrace pit coal mining systems

    SciTech Connect (OSTI)

    Wimer, R.L.; Adams, M.A.; Jurich, D.M.

    1981-02-01

    This report characterizes seven United State coal regions in the Northern Great Plains, Rocky Mountain, Interior, and Gulf Coast coal provinces. Descriptions include those of the Fort Union, Powder River, Green River, Four Corners, Lower Missouri, Illinois Basin, and Texas Gulf coal resource regions. The resource characterizations describe geologic, geographic, hydrologic, environmental and climatological conditions of each region, coal ranks and qualities, extent of reserves, reclamation requirements, and current mining activities. The report was compiled as a basis for the development of hypothetical coal mining situations for comparison of conventional and terrace pit surface mining methods, under contract to the Department of Energy, Contract No. DE-AC01-79ET10023, entitled The Development of Optimal Terrace Pit Coal Mining Systems.

  12. Method of locating related items in a geometric space for data mining

    DOE Patents [OSTI]

    Hendrickson, B.A.

    1999-07-27

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity. 12 figs.

  13. Method of locating related items in a geometric space for data mining

    DOE Patents [OSTI]

    Hendrickson, Bruce A. (Albuquerque, NM)

    1999-01-01

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity.

  14. Method for describing and evaluating coal mine wastes for coal recovery: a case history from the historical longwall district in the northeastern Illinois coal field

    SciTech Connect (OSTI)

    Khan, L.A.; Berggren, D.J.

    1984-12-01

    A method for describing and evaluating coal mine wastes evolved in 1982 from studies at more than 100 historic longwall mine sites conducted by the Illinois State Geological Survey and partially funded by the Illinois Abandoned Mined Lands Reclamation Council (IAMLRC). The primary purpose was to locate and identify different types of waste materials at these sites and to evaluate them for future reclamation. The method which involves geologic characterization, sampling, standard analyses, and evaluation tests, can be used to determine the potential of a mine waste deposit for secondary recovery of coal. It yields data relating to three factors involved in secondary recovery: quality (ash content, heating value), quantity (recoverable tonnages), and the net effect of the recovery operation (product value relative to operations costs; social and environmental assets relative to liabilities). The longwall study did not directly address the question of recoverable tonnages of coal but provided information that can be used to make this evaluation, minimize the amount of drilling required for accurate forecasts of profitability, and measure the economic and environmental benefits of secondary recovery steps in a reclamation plan.

  15. Method using a density field for locating related items for data mining

    DOE Patents [OSTI]

    Wylie, Brian N. (Albuquerque, NM)

    2002-01-01

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method makes use of numeric values as a measure of similarity between each pairing of items. The items are given initial coordinates in the space. An energy is then determined for each item from the item's distance and similarity to other items, and from the density of items assigned coordinates near the item. The distance and similarity component can act to draw items with high similarities close together, while the density component can act to force all items apart. If a terminal condition is not yet reached, then new coordinates can be determined for one or more items, and the energy determination repeated. The iteration can terminate, for example, when the total energy reaches a threshold, when each item's energy is below a threshold, after a certain amount of time or iterations.

  16. October 8, 2005 19:34 Proceedings Trim Size: 9.75in x 6.5in APBCSCOPDomainPrediction PREDICTING RANKED SCOP DOMAINS BY MINING ASSOCIATIONS OF

    E-Print Network [OSTI]

    Wong, Limsoon

    -REN SHYU Medical and Biological Digital Library Research Lab, Department of Computer Science, University. To understand the information of the protein structures, Structural Classification of Protein (SCOP) Database methods in structural classifications, it is labor intensive. In this paper, we build a non

  17. Guide to journal rankings 1. What are journal rankings?

    E-Print Network [OSTI]

    McCusker, Guy

    Opus Guide to journal rankings 1. What are journal rankings? Journal rankings are metrics that provide information on how a journal performs in comparison with other journals in the same discipline. Articles in high impact journals are more likely to be cited. Good citation counts are often considered

  18. Department of MINING ENGINEERING

    E-Print Network [OSTI]

    Capecchi, Mario R.

    AS A MINING ENGINEER IMAGINE IMAGINE Department of MINING ENGINEERING THE UNIVERSITY OF UTAH www.mining

  19. Method of data mining including determining multidimensional coordinates of each item using a predetermined scalar similarity value for each item pair

    DOE Patents [OSTI]

    Meyers, Charles E. (Albuquerque, NM); Davidson, George S. (Albuquerque, NM); Johnson, David K. (Albuquerque, NM); Hendrickson, Bruce A. (Albuquerque, NM); Wylie, Brian N. (Albuquerque, NM)

    1999-01-01

    A method of data mining represents related items in a multidimensional space. Distance between items in the multidimensional space corresponds to the extent of relationship between the items. The user can select portions of the space to perceive. The user also can interact with and control the communication of the space, focusing attention on aspects of the space of most interest. The multidimensional spatial representation allows more ready comprehension of the structure of the relationships among the items.

  20. Survey of nine surface mines in North America. [Nine different mines in USA and Canada

    SciTech Connect (OSTI)

    Hayes, L.G.; Brackett, R.D.; Floyd, F.D.

    1981-01-01

    This report presents the information gathered by three mining engineers in a 1980 survey of nine surface mines in the United States and Canada. The mines visited included seven coal mines, one copper mine, and one tar sands mine selected as representative of present state of the art in open pit, strip, and terrace pit mining. The purpose of the survey was to investigate mining methods, equipment requirements, operating costs, reclamation procedures and costs, and other aspects of current surface mining practices in order to acquire basic data for a study comparing conventional and terrace pit mining methods, particularly in deeper overburdens. The survey was conducted as part of a project under DOE Contract No. DE-AC01-79ET10023 titled The Development of Optimal Terrace Pit Coal Mining Systems.

  1. Rank Equilibration and Political Behavior 

    E-Print Network [OSTI]

    Anderson, Bo; Zelditch, Morris Jr

    2015-07-14

    /plain; charset=UTF-8 RANK EQUILIBRATION AND POLITICAL BEHAVIOR by Bo Anderson and Morris Zelditch, Jr0 TR #9 Rank Equilibration end Political Behavior* 1« Introduction The terra ,,status politics" refers to a way of conceptualizing some aspects o...

  2. Data Mining 4.6. " "

    E-Print Network [OSTI]

    Borissova, Daniela

    1 . . Data Mining "" 4.6. " " ( 01.01.12. "") . . .. 2012. .- - - , , .". . ", .2. : : Data Mining #12;3 (Data Mining) - 20-25 . , , , , , . , (Data Mining) , , , , . Data Mining . Data Mining

  3. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

    Data Mining . . . . . . . . . . . . . . . . . . . . . . .Mining . . . . . . . . . . . . . . . . . . . . . . . . .Sequence Mining 6.1 Introduction . . . . . . . . .

  4. Data Mining for Improving Health-Care Resource Deployment

    E-Print Network [OSTI]

    He, Nannan

    2014-01-01

    model establishments and data mining algorithm application.a comparison of three data mining methods. ArtificialIan H.Witten, E. F. (2011). Data Mining:Practical Machine

  5. Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.

    E-Print Network [OSTI]

    Kargupta, Hilol

    Distributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM employed in parametric multivariate regression to provide an effective data mining technique for use

  6. WindMine: Fast and Effective Mining of Web-click Sequences Yasushi Sakurai

    E-Print Network [OSTI]

    WindMine: Fast and Effective Mining of Web-click Sequences Yasushi Sakurai NTT Communication, patterns and anomalies? We have developed a novel method, WindMine, and its fine-tuning sibling, Wind of sequences (WindMine-part), with little loss of accuracy. We examine the effectiveness and scalability by per

  7. Ranking nodes in growing networks: When PageRank fails

    E-Print Network [OSTI]

    Mariani, Manuel Sebastian; Zhang, Yi-Cheng

    2015-01-01

    PageRank is arguably the most popular ranking algorithm which is being applied in real systems ranging from information to biological and infrastructure networks. Despite its outstanding popularity and broad use in different areas of science, the relation between the algorithm's efficacy and properties of the network on which it acts has not yet been fully understood. We study here PageRank's performance on a network model supported by real data, and show that realistic temporal effects make PageRank fail in individuating the most valuable nodes for a broad range of model parameters. Results on real data are in qualitative agreement with our model-based findings. This failure of PageRank reveals that the static approach to information filtering is inappropriate for a broad class of growing systems, and suggest that time-dependent algorithms that are based on the temporal linking patterns of these systems are needed to better rank the nodes.

  8. Mining Sequential Patterns from Temporal Streaming Data

    E-Print Network [OSTI]

    Malerba, Donato

    Mining Sequential Patterns from Temporal Streaming Data A. Marascu and F. Masseglia INRIA Sophia.Marascu,Florent.Masseglia}@sophia.inria.fr Abstract. In recent years, emerging applications introduced new con- straints for data mining methods of our knowledge, no method has been proposed for mining sequential patterns in data streams. We argue

  9. ITP Mining: Exploration and Mining Technology Roadmap

    Broader source: Energy.gov [DOE]

    This document describes the Mining Industry of the Future's development of technology roadmaps to guide collaborative research activities for mining.

  10. Low-rank coal research

    SciTech Connect (OSTI)

    Weber, G. F.; Laudal, D. L.

    1989-01-01

    This work is a compilation of reports on ongoing research at the University of North Dakota. Topics include: Control Technology and Coal Preparation Research (SO{sub x}/NO{sub x} control, waste management), Advanced Research and Technology Development (turbine combustion phenomena, combustion inorganic transformation, coal/char reactivity, liquefaction reactivity of low-rank coals, gasification ash and slag characterization, fine particulate emissions), Combustion Research (fluidized bed combustion, beneficiation of low-rank coals, combustion characterization of low-rank coal fuels, diesel utilization of low-rank coals), Liquefaction Research (low-rank coal direct liquefaction), and Gasification Research (hydrogen production from low-rank coals, advanced wastewater treatment, mild gasification, color and residual COD removal from Synfuel wastewaters, Great Plains Gasification Plant, gasifier optimization).

  11. African mining

    SciTech Connect (OSTI)

    Not Available

    1987-01-01

    This book contains papers presented at a conference addressing the development of the minerals industry in Africa. Topics covered include: A review - past, present and future - of Zimbabwe's mining industry; Geomorphological processes and related mineralization in Tanzania; and Rock mechanics investigations at Mufulira mine, Zambia.

  12. Nuclear norm penalized LAD estimator for low rank matrix recovery

    E-Print Network [OSTI]

    Wei, Wenzhe

    2015-01-01

    In the thesis we propose a novel method for low rank matrix recovery. We study the framework using absolute deviation loss function and nuclear penalty. While nuclear norm penalty is widely utilized heuristic method for ...

  13. Efficiently Mining Maximal Frequent Itemsets Karam Gouda

    E-Print Network [OSTI]

    Fiat, Amos

    Efficiently Mining Maximal Frequent Itemsets Karam Gouda and Mohammed J. Zaki ¡ ComputerMax, a backtrack search based algorithm for mining maximal frequent itemsets. GenMax uses a num- ber based on dataset characteristics. We found GenMax to be a highly efficient method to mine the exact set

  14. COLORADO SCHOOL OF MINES CONTROLLER'S OFFICE

    E-Print Network [OSTI]

    COLORADO SCHOOL OF MINES CONTROLLER'S OFFICE PROCUREMENT CARD HANDBOOK Revised November 2014 #12 ........................................................................................................9 #12;3 Introduction Procurement is a daily occurrence at Colorado School of Mines. The CSM VI.B.1.a]. There are many benefits to using the P-Card over any other methods of purchasing at Mines

  15. Alternative methods for dispoal of low-level radioactive wastes. Task 1. Description of methods and assessment of criteria. [Alternative methods are belowground vaults, aboveground vaults; earth mounded concrete bunkers, mined cavities, augered holes

    SciTech Connect (OSTI)

    Bennett, R.D.; Miller, W.O.; Warriner, J.B.; Malone, P.G.; McAneny, C.C.

    1984-04-01

    The study reported herein contains the results of Task 1 of a four-task study entitled Criteria for Evaluating Engineered Facilities. The overall objective of this study is to ensure that the criteria needed to evaluate five alternative low-level radioactive waste (LLW) disposal methods are available to the Nuclear Regulatory Commission (NRC) and the Agreement States. The alternative methods considered are belowground vaults, aboveground vaults, earth mounded concrete bunkers, mined cavities, and augered holes. Each of these alternatives is either being used by other countries for low-level radioactive waste (LLW) disposal or is being considered by other countries or US agencies. In this report the performance requirements are listed, each alternative is described, the experience gained with its use is discussed, and the performance capabilities of each method are addressed. Next, the existing 10 CFR Part 61 Subpart D criteria with respect to paragraphs 61.50 through 61.53, pertaining to site suitability, design, operations and closure, and monitoring are assessed for applicability to evaluation of each alternative. Preliminary conclusions and recommendations are offered on each method's suitability as an LLW disposal alternative, the applicability of the criteria, and the need for supplemental or modified criteria.

  16. Quarrying and Mining (Stone)

    E-Print Network [OSTI]

    Bloxam, Elizabeth

    2010-01-01

    the author.   Quarrying and Mining (Stone), Bloxam, UEE 2010archaeology and anthropology of mining. In Social approachesand anthropology of mining, ed. Bernard Knapp, Vincent

  17. Measuring mine roof bolt strains

    DOE Patents [OSTI]

    Steblay, Bernard J. (Lakewood, CO)

    1986-01-01

    A mine roof bolt and a method of measuring the strain in mine roof bolts of this type are disclosed. According to the method, a flat portion on the head of the mine roof bolt is first machined. Next, a hole is drilled radially through the bolt at a predetermined distance from the bolt head. After installation of the mine roof bolt and loading, the strain of the mine roof bolt is measured by generating an ultrasonic pulse at the flat portion. The time of travel of the ultrasonic pulse reflected from the hole is measured. This time of travel is a function of the distance from the flat portion to the hole and increases as the bolt is loaded. Consequently, the time measurement is correlated to the strain in the bolt. Compensation for various factors affecting the travel time are also provided.

  18. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R. (Idaho Falls, ID)

    1992-01-01

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  19. Chemical comminution and deashing of low-rank coals

    DOE Patents [OSTI]

    Quigley, David R.

    1992-12-01

    A method of chemically comminuting a low-rank coal while at the same time increasing the heating value of the coal. A strong alkali solution is added to a low-rank coal to solubilize the carbonaceous portion of the coal, leaving behind the noncarbonaceous mineral matter portion. The solubilized coal is precipitated from solution by a multivalent cation, preferably calcium.

  20. MATH 51 LECTURE NOTES: HOW GOOGLE RANKS WEB PAGES

    E-Print Network [OSTI]

    Easton, Robert W.

    MATH 51 LECTURE NOTES: HOW GOOGLE RANKS WEB PAGES BRIAN WHITE During a typical use of a search engine, (1) the user types a word, (2) the engine finds all web pages that contain the given word, and (3 of doing step 3, that is, a better way of ranking web pages. Google's method is called the Page

  1. Activity Identification Utilizing Data Mining Techniques Jae Young Lee

    E-Print Network [OSTI]

    Hoff, William A.

    Activity Identification Utilizing Data Mining Techniques Jae Young Lee Dept. of Math. and Computer belong to. The proposed method utilizes various data mining techniques, including clustering Sciences Colorado School of Mines Golden, Colorado, USA jaelee@mines.edu William Hoff Engineering Division

  2. Do PageRank-based author rankings outperform simple citation counts?

    E-Print Network [OSTI]

    Fiala, Dalibor; Žitnik, Slavko; Bajec, Marko

    2015-01-01

    The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study, we analyze three large datasets of computer science papers in the categories of artificial intelligence, software engineering,...

  3. Pbm: A new dataset for blog mining

    E-Print Network [OSTI]

    Aziz, Mehwish

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpreting the results. There are numerous approaches for performing text mining tasks, like: clustering, categorization, sentimental analysis, and summarization. There is a growing need to standardize the evaluation of these tasks. One major component of establishing standardization is to provide standard datasets for these tasks. Although there are various standard datasets available for traditional text mining tasks, but there are very few and expensive datasets for blog-mining task. Blogs, a new genre in web 2.0 is a digital...

  4. Mining information from binary black hole mergers: a comparison of estimation methods for complex exponentials in noise

    E-Print Network [OSTI]

    Emanuele Berti; Vitor Cardoso; Jose A. Gonzalez; Ulrich Sperhake

    2007-06-17

    The ringdown phase following a binary black hole merger is usually assumed to be well described by a linear superposition of complex exponentials (quasinormal modes). In the strong-field conditions typical of a binary black hole merger, non-linear effects may produce mode coupling. Artificial mode coupling can also be induced by the black hole's rotation, if the radiation field is expanded in terms of spin-weighted spherical (rather than spheroidal) harmonics. Observing deviations from linear black hole perturbation theory requires optimal fitting techniques to extract ringdown parameters from numerical waveforms, which are inevitably affected by errors. So far, non-linear least-squares fitting methods have been used as the standard workhorse to extract frequencies from ringdown waveforms. These methods are known not to be optimal for estimating parameters of complex exponentials. Furthermore, different fitting methods have different performance in the presence of noise. The main purpose of this paper is to introduce the gravitational wave community to modern variations of a linear parameter estimation technique first devised in 1795 by Prony: the Kumaresan-Tufts and matrix pencil methods. Using "test" damped sinusoidal signals in Gaussian white noise we illustrate the advantages of these methods, showing that they have variance and bias at least comparable to standard non-linear least-squares techniques. Then we compare the performance of different methods on unequal-mass binary black hole merger waveforms. The methods we discuss should be useful both theoretically (to monitor errors and search for non-linearities in numerical relativity simulations) and experimentally (for parameter estimation from ringdown signals after a gravitational wave detection).

  5. New Mexico Institute of Mining and Masters Independent Study

    E-Print Network [OSTI]

    Borchers, Brian

    New Mexico Institute of Mining and Technology Masters Independent Study Estimation Methods is the only choice you have." Bob Marley #12;NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY Abstract Jan

  6. Chemistry & Biology Genome-Wide High-Throughput Mining

    E-Print Network [OSTI]

    Yin, Jun

    Chemistry & Biology Article Genome-Wide High-Throughput Mining of Natural-Product Biosynthetic Gene.01.006 SUMMARY We have developed a phage-display method for high-throughput mining of bacterial gene clus- ters

  7. LEARNING OUTCOMES EVALUATION Mining Engineering

    E-Print Network [OSTI]

    Missouri-Rolla, University of

    geomechanics, geometrics and computer-aided mine design, and optimization of flow processes for designing mine

  8. ANU MLSS 2010: Data Mining

    E-Print Network [OSTI]

    McCreath, Eric Charles

    ANU MLSS 2010: Data Mining Part 1: Introduction, data mining challenges, and data issues for data mining Data Mining module outline Part 1: Very short introduction to data mining Data mining process Challenges in data mining Data cleaning, integration and pre-processing Part 2: Association rule mining Part

  9. POP: Person Re-Identification Post-Rank Optimisation Chunxiao Liu1

    E-Print Network [OSTI]

    Huang, Jianwei

    POP: Person Re-Identification Post-Rank Optimisation Chunxiao Liu1 , Chen Change Loy2 , Shaogang-rank OPtimisation (POP) method, which allows a user to quickly refine their search by either "one-shot" or a couple- of-the-art distance metric learning based ranking models, even with just "one shot" feedback

  10. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

    Data Mining . . . . . . . . . . . . . . . . . . . . . . .Data Mining . . . . . . . . . . . . . . . . . . . . . . . . .In this work we apply data mining and machine learning

  11. Rock mechanics design in mining and tunneling

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1984-01-01

    This book introduces the design process as applied to rock mechanics aspects of underground mining and tunneling. Topics covered include a historical perspective, the design process in engineering, empirical methods of design, observational methods of design, and guided design.

  12. The LSST Data Mining Research Agenda

    E-Print Network [OSTI]

    K. D. Borne; J. Becla; I. Davidson; A. Szalay; J. A. Tyson

    2008-11-02

    We describe features of the LSST science database that are amenable to scientific data mining, object classification, outlier identification, anomaly detection, image quality assurance, and survey science validation. The data mining research agenda includes: scalability (at petabytes scales) of existing machine learning and data mining algorithms; development of grid-enabled parallel data mining algorithms; designing a robust system for brokering classifications from the LSST event pipeline (which may produce 10,000 or more event alerts per night); multi-resolution methods for exploration of petascale databases; indexing of multi-attribute multi-dimensional astronomical databases (beyond spatial indexing) for rapid querying of petabyte databases; and more.

  13. POLYTOPES OF MINIMUM POSITIVE SEMIDEFINITE RANK 1 ...

    E-Print Network [OSTI]

    2012-05-23

    M ? rank M. In Exam- ple 2.3 we saw that the first inequality may be strict. We now ..... Let Si denote the ith row of SP . Since rank SP = n+ 1, we have ? n+2.

  14. Marine Traffic Engineering through Relational Data Mining

    E-Print Network [OSTI]

    Ceci, Michelangelo

    Marine Traffic Engineering through Relational Data Mining Antonio Bruno1 and Annalisa Appice1,2 1-relational method of frequent pattern discovery into the marine traffic investigation. Multi-relational data mining collected in the gulf of Taranto. 1 Introduction Marine traffic engineering is a research field originally

  15. of Mining & Engineering

    E-Print Network [OSTI]

    Wong, Pak Kin

    & Illness in Mining (3 units) MNE 527 Geomechanics (4 units) MNE 547 Underground Construction Geomechanics

  16. Low rank approximations of matrices and tensors

    E-Print Network [OSTI]

    Friedland, Shmuel

    Low rank approximations of matrices and tensors S. Friedland, V. Mehrmann, A. Miedlar and M, 2008 S. Friedland, V. Mehrmann, A. Miedlar and M. Nkengla Low rank approximations of matrices and tensors #12;Overview S. Friedland, V. Mehrmann, A. Miedlar and M. Nkengla Low rank approximations

  17. ClassName MethodName FieldName(ParamsName)ClassType Period Mark Order Rank Comment ARS NewTypesNum NewTypes AllTypes AllTypesNum MCBINum minidraw.boardgame.BoardDrawing CLASS CL&IA 0 1 MICs 0 0 0 0

    E-Print Network [OSTI]

    Abi-Antoun, Marwan

    Tips: ClassName MethodName FieldName(ParamsName)ClassType Period Mark Order Rank Comment ARS NewTypesNum NewTypes AllTypes AllTypesNum MCBINum minidraw.boardgame.BoardDrawing CLASS CL&IA 0 1 MICs 0 0 0 0 minidraw.standard.MiniDrawApplication CLASS CL&IA 0 2 MICs 0 0 0 0 minidraw.standard.SelectionTool CLASS CL

  18. ITP Mining: Mining Industry Roadmap for Crosscutting Technologies...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Roadmap for Crosscutting Technologies ITP Mining: Mining Industry Roadmap for Crosscutting Technologies ccroadmap.pdf More Documents & Publications ITP Mining: Exploration and...

  19. A Survey on Wavelet Applications in Data Mining Department of

    E-Print Network [OSTI]

    Li, Tao

    A Survey on Wavelet Applications in Data Mining Tao Li Department of Computer Science Univ in the use of wavelet methods in various data mining processes. However, there has been written presents a high-level data-mining framework that reduces the overall process into smaller components

  20. Data Mining in the Real World: Experiences, Challenges, and Recommendations

    E-Print Network [OSTI]

    Weiss, Gary

    Data Mining in the Real World: Experiences, Challenges, and Recommendations Gary M. Weiss Department of Computer and Information Science, Fordham University, Bronx, NY, USA Abstract - Data mining- ceptance. However, applying data mining methods to complex real-world tasks is far from straightforward

  1. A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY

    E-Print Network [OSTI]

    Duffy, Ken

    A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY Meimei Zhang. This method often undervalues a mining project since it ignores future price uncertainty and does not allow on metal price. This paper also demonstrates that the "reactive" approach can estimate the mine project

  2. Open Source Data Mining: Workshop Report Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Open Source Data Mining: Workshop Report Bart Goethals University of Antwerp Antwerp, Belgium bart tremendous progress has been made in data mining methods like clustering, classification, fre- quent pattern mining, and so on. Unfortunately, however, the advanced implementations are often not made publicly

  3. A Framework of Business Intelligence-driven Data Mining for e-Business Yang Hang, Simon Fong

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

    --This paper proposes a data mining methodology called Business Intelligence-driven Data Mining (BId intelligence knowledge and existent various data mining methods in e- Business. BIdDM contains two processes-Shop is provided to illustrate the use of BIdDM. Keywords-Business intelligence; Data mining; BI-driven Data Mining

  4. Graph Mining Meets the Semantic Web

    SciTech Connect (OSTI)

    Lee, Sangkeun (Matt) [ORNL; Sukumar, Sreenivas R [ORNL; Lim, Seung-Hwan [ORNL

    2015-01-01

    The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today, data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, and PageRank). We implement these algorithms as SPARQL queries, wrapped within Python scripts. We evaluate the performance of our implementation on 6 real world data sets and show graph mining algorithms (that have a linear-algebra formulation) can indeed be unleashed on data represented as RDF graphs using the SPARQL query interface.

  5. Transportation costs for new fuel forms produced from low rank US coals

    SciTech Connect (OSTI)

    Newcombe, R.J.; McKelvey, D.G. ); Ruether, J.A. )

    1990-09-01

    Transportation costs are examined for four types of new fuel forms (solid, syncrude, methanol, and slurry) produced from low rank coals found in the lower 48 states of the USA. Nine low rank coal deposits are considered as possible feedstocks for mine mouth processing plants. Transportation modes analyzed include ship/barge, pipelines, rail, and truck. The largest potential market for the new fuel forms is coal-fired utility boilers without emission controls. Lowest cost routes from each of the nine source regions to supply this market are determined. 12 figs.

  6. Mine roof geology information system

    SciTech Connect (OSTI)

    Peng, S.S.; Sasaoka, T.; Tang, D.X.; Wilson, Y.; Wilson, G.

    2005-05-01

    A project sponsored by the US Department of Energy under the Industry of Future (Mining) program was initiated five years ago. In this project a patented drill control unit (DCU) installed DIN. the J.H. Flecher & Co.'s roof bolter was used to record the drilling parameter for experiments conducted in the mines and laboratory. Today, the drilling parameters have been recorded for more than 1,000 roof bolt holes. This article summarizes the results to date including the methods for determining quantitatively the location of voids/fractures and estimation of roof rock strength from the recorded roof bolter drilling parameters. 8 figs., 2 tabs.

  7. COMP3420 Lecture 19 --Data Mining A very short introduction to...

    E-Print Network [OSTI]

    McCreath, Eric Charles

    . Definitions of data mining . Data mining methods and techniques . Challenges in data mining . Data mining, etc.) -- Additional data (network load, faults, etc.) . Questions -- Which customer group is highly kind of call rates would increase profit without loosing good customers? -- How do customer profiles

  8. COMP3420 Lecture 19 Data Mining A very short introduction to...

    E-Print Network [OSTI]

    McCreath, Eric Charles

    · Definitions of data mining · Data mining methods and techniques · Challenges in data mining · Data mining, etc.) ­ Additional data (network load, faults, etc.) · Questions ­ Which customer group is highly kind of call rates would increase profit without loosing good customers? ­ How do customer profiles

  9. A data mining approach to forming generic bills of materials in support of variant design activities

    E-Print Network [OSTI]

    Nagi, Rakesh

    1 A data mining approach to forming generic bills of materials in support of variant design. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities through data mining methods such as text and tree mining, a new tree union procedure, and embodying

  10. On Boolean matrices with full factor rank

    SciTech Connect (OSTI)

    Shitov, Ya

    2013-11-30

    It is demonstrated that every (0,1)-matrix of size n×m having Boolean rank n contains a column with at least ?n/2?1 zero entries. This bound is shown to be asymptotically optimal. As a corollary, it is established that the size of a full-rank Boolean matrix is bounded from above by a function of its tropical and determinantal ranks. Bibliography: 16 titles.

  11. Coal recovery from mine wastes of the historic longwall mining district of north-central illinois. Illinois mineral notes

    SciTech Connect (OSTI)

    Khan, L.A.; Berggren, D.J.; Camp, L.R.

    1986-01-01

    Recovery of coal from mine wastes produced by historic longwall mines in northeastern Illinois was studied as part of a project undertaken in 1982 for the Illinois Abandoned Mined Lands Reclamation Council. About 100 of these mines operated in the Wilmington and La Salle Districts of the Illinois Coal Field between about 1870 and 1940; all worked the Colchester (No. 2) Coal Seam, using a manual high-extraction mining method. Large samples of the three major kinds of mine waste - gray mining gob, preparation gob, and preparation slurry - were collected from deposits at nine of the larger mine sites and analyzed to determine their general ranges of sulfur, ash, and heating values. Preparation gob and slurry from six of the sites had significant combustible contents, and were evaluated by a simple procedure in which ash analyses and wet-screening tests were used to determine the washability and yield of combustibles to recovery processes.

  12. Personalized PageRank Solution Paths

    E-Print Network [OSTI]

    2015-04-13

    gorithms to estimate the solution path as a function of the sparsity and propose .... see shortly, we actually are describing degree normalized. PageRank values.

  13. Rank-ordered Multifractal Spectrum for Intermittent Fluctuations

    E-Print Network [OSTI]

    Tom Chang; Cheng-chin Wu

    2007-12-27

    We describe a new method that is both physically explicable and quantitatively accurate in describing the multifractal characteristics of intermittent events based on groupings of rank-ordered fluctuations. The generic nature of such rank-ordered spectrum leads it to a natural connection with the concept of one-parameter scaling for monofractals. We demonstrate this technique using results obtained from a 2D MHD simulation. The calculated spectrum suggests a crossover from the near Gaussian characteristics of small amplitude fluctuations to the extreme intermittent state of large rare events.

  14. Imaging Ahead of Mining

    Office of Energy Efficiency and Renewable Energy (EERE)

    Coal mining is becoming more difficult as machines must extract the coal from deeper, thinner, and more geologically complex coal beds. This type of mining also includes the need to reduce risk and...

  15. A network-based ranking system for American college football

    E-Print Network [OSTI]

    Park, J; Park, Juyong

    2005-01-01

    American college football faces a conflict created by the desire to stage national championship games between the best teams of a season when there is no conventional playoff system to decide which those teams are. Instead, ranking of teams is based on their record of wins and losses during the season, but each team plays only a small fraction of eligible opponents, making the system underdetermined or contradictory or both. It is an interesting challenge to create a ranking system that at once is mathematically well-founded, gives results in general accord with received wisdom concerning the relative strengths of the teams, and is based upon intuitive principles, allowing it to be accepted readily by fans and experts alike. Here we introduce a one-parameter ranking method that satisfies all of these requirements and is based on a network representation of college football schedules.

  16. of Mining & Engineering

    E-Print Network [OSTI]

    Wong, Pak Kin

    .621.8330 Engr-mining@email.arizona.edu ONLINE GRADUATE CERTIFICATE PROGRAM 15 UNITS YOUR CAREER GEOMECHANICS #12;GEOMECHANICS Department of Mining & Geological Engineering www.mge.arizona.edu Contact the MGE Department for more information: ENGR-mining@email.arizona.edu REQUIRED COURSES (12 units) MNE 527 Geomechanics (3

  17. Data Warehousing and Data Mining Conference, January 25, 1999, Singapore Data Mining:Data Mining

    E-Print Network [OSTI]

    Wu, Xindong

    Data Warehousing and Data Mining Conference, January 25, 1999, Singapore 1 Welcome Data Mining:Data Mining: Updates in TechnologiesUpdates in Technologies Xindong Wu Dept of Math and Computer Science Colorado School of Mines Golden, Colorado 80401, USA Email: xwu@ mines.edu Home Page: http://kais.mines

  18. The generating rank of the symplectic grassmannians

    E-Print Network [OSTI]

    Blok, Rieuwert J.

    The generating rank of the symplectic grassmannians: hyperbolic and isotropic geometry Rieuwert J.S.A. blokr@member.ams.org Accepted: March 7 2006 Key Words: symplectic geometry, grassmannian, generating to the symplectic group Sp2n(F) has generating rank 2n k - 2n k-2 when Char(F) = 2. #12;1 Introduction Generating

  19. The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-

    E-Print Network [OSTI]

    Cohen, William W.

    The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification present a new, intuitive semi-supervised learning algo- rithm for classifying political blogs in a blog

  20. Mixed Membership Models for Rank Data: Investigating Structure in Irish Voting Data

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    the population. Thus, mixed membership models provide a method for model-based soft clustering of data. The mixed21 Mixed Membership Models for Rank Data: Investigating Structure in Irish Voting Data Isobel ........................................................................ 444 21.3.1 The Plackett-Luce Model for Rank Data ............................................ 445 21

  1. Rank Quantization Mountain View, CA, USA

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Rank Quantization Ravi Kumar Google Mountain View, CA, USA ravi.k53@gmail.com Ronny Lempel Yahoo and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post

  2. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND)

    1991-01-01

    A low-rank coal oil agglomeration process. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and usually coal derived.

  3. Data Mining and Knowledge Discovery

    E-Print Network [OSTI]

    Novak, Petra Kralj

    Data Mining and Knowledge Discovery Part of Jozef Stefan IPS Programme - ICT3 and UL Programme. Introduction Data Mining in a Nutshell Predictive and descriptive DM techniques Data Mining and KDD process Technologies I. Introduction: First generation data mining Data Mining in a nutshell Predictive

  4. Top for economics Rank Business School

    E-Print Network [OSTI]

    Lin, Xiaodong

    Top for economics Rank Business School 1 University of Chicago: Booth Rutgers Business School of Strathclyde Business School University of Pretoria, Gibs IMD 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 Top/WHU Beisheim Tsinghua University/Insead Top for international business Rank Business School 1 2 3 4 5 6 7 8 9

  5. Presidential Rank Awards Announced | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONAL CHAIRSEnergyPresidential Rank Awards Announced

  6. Data mining and visualization techniques

    DOE Patents [OSTI]

    Wong, Pak Chung (Richland, WA); Whitney, Paul (Richland, WA); Thomas, Jim (Richland, WA)

    2004-03-23

    Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.

  7. Discoveries far from the lamppost with matrix elements and ranking

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inversemore »of the background distribution.« less

  8. Discoveries far from the lamppost with matrix elements and ranking

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Debnath, Dipsikha; Gainer, James S.; Matchev, Konstantin T.

    2015-04-01

    The prevalence of null results in searches for new physics at the LHC motivates the effort to make these searches as model-independent as possible. We describe procedures for adapting the Matrix Element Method for situations where the signal hypothesis is not known a priori. We also present general and intuitive approaches for performing analyses and presenting results, which involve the flattening of background distributions using likelihood information. The first flattening method involves ranking events by background matrix element, the second involves quantile binning with respect to likelihood (and other) variables, and the third method involves reweighting histograms by the inverse of the background distribution.

  9. A statistical perspective on data mining Jonathan Hosking, Edwin Pednault and Madhu Sudan

    E-Print Network [OSTI]

    Sudan, Madhu

    A statistical perspective on data mining Jonathan Hosking, Edwin Pednault and Madhu Sudan IBM T. J. Watson Research Center, Yorktown Heights, N.Y., U.S.A. Abstract Data mining can be regarded as a collection of methods for drawing inferences from data. The aims of data mining,and some of its methods

  10. ITP Mining: Education Roadmap for Mining Professionals (December 2002)

    Broader source: Energy.gov [DOE]

    A profitable and stable mining industry is vital to U.S. economic and national security. This roadmap serves to educate those professionals in the mining industry.

  11. ITP Mining: Mining Industry of the Future Mineral Processing...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of the Future Mineral Processing Technology Roadmap ITP Mining: Mining Industry of the Future Mineral Processing Technology Roadmap mptroadmap.pdf More Documents & Publications ITP...

  12. Data Mining Tools Irfan Altas

    E-Print Network [OSTI]

    Turlach, Berwin A.

    Data Mining Tools Irfan Altas School of Information Studies, Charles Sturt University Wagga Wagga discuss several scalable and parallel discovery and predictive data mining tools. They successfully Data mining tools, thin plate splines, BMARS, revolver, regression, smoothing, addi­ tive models

  13. IEEE TRANSACTIONS ON ELECTRONICS PACKAGING MANUFACTURING, VOL. 23, NO. 4, OCTOBER 2000 345 Decomposition in Data Mining: An Industrial Case

    E-Print Network [OSTI]

    Kusiak, Andrew

    Decomposition in Data Mining: An Industrial Case Study Andrew Kusiak, Member, IEEE Abstract--Data mining offers for mining. In this paper, numerous methods for decomposition of data sets are discussed. Decomposition enhances the quality of knowledge extracted from large databases by simplification of the data mining task

  14. Hydrogeology of a reclaimed Central Texas lignite mine 

    E-Print Network [OSTI]

    Pepper, Gail Louise

    1980-01-01

    hydrogeology, and the site strati- graphy. Mining Methods Area stripping is the most common surface mining technique used in Texas at the present time. In this operation, overburden is re- moved by the dragline in a series of rows and cast... or clay) has its own horizontal hydraulic conductivity and collectively the section has a single vertical hydraulic conductivity (fig 12) ~ During mining, the dragline cuts across stratigraphic boundaries so that the spoil material is a random mixture...

  15. Groundwater contaminant plume ranking. [UMTRA Project

    SciTech Connect (OSTI)

    Not Available

    1988-08-01

    Containment plumes at Uranium Mill Tailings Remedial Action (UMTRA) Project sites were ranked to assist in Subpart B (i.e., restoration requirements of 40 CFR Part 192) compliance strategies for each site, to prioritize aquifer restoration, and to budget future requests and allocations. The rankings roughly estimate hazards to the environment and human health, and thus assist in determining for which sites cleanup, if appropriate, will provide the greatest benefits for funds available. The rankings are based on the scores that were obtained using the US Department of Energy's (DOE) Modified Hazard Ranking System (MHRS). The MHRS and HRS consider and score three hazard modes for a site: migration, fire and explosion, and direct contact. The migration hazard mode score reflects the potential for harm to humans or the environment from migration of a hazardous substance off a site by groundwater, surface water, and air; it is a composite of separate scores for each of these routes. For ranking the containment plumes at UMTRA Project sites, it was assumed that each site had been remediated in compliance with the EPA standards and that relict contaminant plumes were present. Therefore, only the groundwater route was scored, and the surface water and air routes were not considered. Section 2.0 of this document describes the assumptions and procedures used to score the groundwater route, and Section 3.0 provides the resulting scores for each site. 40 tabs.

  16. Spectral thresholding quantum tomography for low rank states

    E-Print Network [OSTI]

    Cristina Butucea; Madalin Guta; Theodore Kypraios

    2015-04-30

    The estimation of high dimensional quantum states is an important statistical problem arising in current quantum technology applications. A key example is the tomography of multiple ions states, employed in the validation of state preparation in ion trap experiments \\cite{Haffner2005}. Since full tomography becomes unfeasible even for a small number of ions, there is a need to investigate lower dimensional statistical models which capture prior information about the state, and to devise estimation methods tailored to such models. In this paper we propose several new methods aimed at the efficient estimation of low rank states in multiple ions tomography. All methods consist in first computing the least squares estimator, followed by its truncation to an appropriately chosen smaller rank. The latter is done by setting eigenvalues below a certain "noise level" to zero, while keeping the rest unchanged, or normalising them appropriately. We show that (up to logarithmic factors in the space dimension) the mean square error of the resulting estimators scales as $r\\cdot d/N$ where $r$ is the rank, $d=2^k$ is the dimension of the Hilbert space, and $N$ is the number of quantum samples. Furthermore we establish a lower bound for the asymptotic minimax risk which shows that the above scaling is optimal. The performance of the estimators is analysed in an extensive simulations study, with emphasis on the dependence on the state rank, and the number of measurement repetitions. We find that all estimators perform significantly better that the least squares, with the "physical estimator" (which is a bona fide density matrix) slightly outperforming the other estimators.

  17. Low-Rank Regularization for Learning Gene Expression Programs

    E-Print Network [OSTI]

    Ye, Guibo; Tang, Mengfan; Cai, Jian-Feng; Nie, Qing; Xie, Xiaohui; Muldoon, Mark R

    2013-01-01

    8 | Issue 12 | e82146 Low-Rank for Learning Gene ExpressionWe will call (3) the linear low-rank model in the following.so is its square root K 2 . Low-rank regularized nonlinear

  18. Rank-1 accelerated illumination recovery in scanning diffractive imaging by transparency estimation.

    SciTech Connect (OSTI)

    Wu, Hau-Tieng

    2014-08-07

    Illumination retrieval in scanning diffractive imaging a.k.a. ptychography is challenging when the specimen is weakly scattering or surrounded by empty space. We describe a rank-1 acceleration method for weakly scattering or piecewise smooth specimens.

  19. PRB mines mature

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2007-08-15

    Already seeing the results of reclamation efforts, America's largest surface mines advance as engineers prepare for the future. 30 years after the signing of the Surface Mining Control and Reclamation Act by Jimmy Carter, western strip mines in the USA, especially in the Powder River Basin, are producing more coal than ever. The article describes the construction and installation of a $38.5 million near-pit crusher and overland belt conveyor system at Foundation Coal West's (FCW) Belle Ayr surface mine in Wyoming, one of the earliest PRB mines. It goes on to describe the development by Rio Tinto of an elk conservatory, the Rochelle Hill Conservation Easement, on reclaimed land at Jacobs Ranch, adjacent to the Rochelle Hills. 4 photos.

  20. Rank-finiteness for modular categories

    E-Print Network [OSTI]

    Paul Bruillard; Siu-Hung Ng; Eric C. Rowell; Zhenghan Wang

    2015-05-27

    We prove a rank-finiteness conjecture for modular categories: up to equivalence, there are only finitely many modular categories of any fixed rank. Our technical advance is a generalization of the Cauchy theorem in group theory to the context of spherical fusion categories. For a modular category $\\mathcal{C}$ with $N=ord(T)$, the order of the modular $T$-matrix, the Cauchy theorem says that the set of primes dividing the global quantum dimension $D^2$ in the Dedekind domain $\\mathbb{Z}[e^{\\frac{2\\pi i}{N}}]$ is identical to that of $N$.

  1. Data mining for ontology development.

    SciTech Connect (OSTI)

    Davidson, George S.; Strasburg, Jana; Stampf, David; Neymotin,Lev; Czajkowski, Carl; Shine, Eugene; Bollinger, James; Ghosh, Vinita; Sorokine, Alexandre; Ferrell, Regina; Ward, Richard; Schoenwald, David Alan

    2010-06-01

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  2. Mining Views: Database Views for Data Mining Hendrik Blockeel #1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Views: Database Views for Data Mining Hendrik Blockeel #1 , Toon Calders 2 , Elisa Fromont adriana.prado}@ua.ac.be Abstract-- We present a system towards the integration of data mining mining views. We show that several types of patterns and models over the data, such as itemsets

  3. Frequent Set Meta Mining: Towards Multi-Agent Data Mining

    E-Print Network [OSTI]

    Coenen, Frans

    Frequent Set Meta Mining: Towards Multi-Agent Data Mining Kamal Ali Albashiri, Frans Coenen, Rob. The typical scenario where this is desirable is in multi-agent data mining where individual agents wish to preserve the security and privacy of their raw data but are prepared to share data mining results. Four

  4. Efficient Mining of Indirect Associations Using HI-Mine

    E-Print Network [OSTI]

    An, Aijun

    Efficient Mining of Indirect Associations Using HI-Mine Qian Wan and Aijun An Department. Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has been noted recently that some

  5. Mining Views: Database Views for Data Mining Hendrik Blockeel1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Views: Database Views for Data Mining Hendrik Blockeel1 , Toon Calders2 , Elisa Fromont1 model towards the inte- gration of data mining into relational database systems, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets

  6. GROUND TRUTH WITH MINE COOPERATION Minnesota Taconite Mines

    E-Print Network [OSTI]

    Stump, Brian W.

    arrangement has been developed with a large taconite mine in the Mesabi Iron Range of Minnesota. Explosives are used to fracture relatively hard rock formations in order to facilitate the recovery of iron. The mine on understanding regional signals from hard rock mining practices. Mining operations in the Mesabi Iron Range

  7. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    gallons industrial waste 7 Oil-free Vacuum Pumps and new Catalyst EENS, Environmental Sciences Dept. (L. Nunnermacker) $6,000 $3,516 1.7 50 pounds of hazardous waste 8 Bulk Motor Oil F&A, Staff Services (H. HauptmanRank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  8. Rank Project Name Directorate, Dept/Div

    E-Print Network [OSTI]

    Electronic Recycling Procurement & Property Management (John Collins) $3,500 TBD N/A 10 tons of e-waste 7 Oil,000 $830.00 7.23 6 liters of industrial waste 8 Disposal of #6 Fuel Oil * EENS (Yousif Celebi $500 $4Rank Project Name Directorate, Dept/Div and POC Cost Savings Payback (Years) Waste Reduction 1

  9. Ranking websites through prioritized web accessibility barriers

    E-Print Network [OSTI]

    Brajnik, Giorgio

    of these comments apply as well to the current WCAG 2.0 draft, to Section 508 and to the Italian official technical criteria in WCAG 2.0), or when they do it (like priority levels in WCAG 1.0) they do not depend on specificRanking websites through prioritized web accessibility barriers Giorgio Brajnik Dip. di Matematica

  10. Low-rank coal oil agglomeration

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.

    1991-07-16

    A low-rank coal oil agglomeration process is described. High mineral content, a high ash content subbituminous coals are effectively agglomerated with a bridging oil which is partially water soluble and capable of entering the pore structure, and is usually coal-derived.

  11. Atomic Representations of Rank 2 Graph Algebras

    E-Print Network [OSTI]

    Davidson, Ken

    Atomic Representations of Rank 2 Graph Algebras Kenneth R. Davidson a , Stephen C. Power b , Dilian University, Lancaster LA1 4YF, U.K. Abstract We provide a detailed analysis of atomic -representations- posed into a direct sum or direct integral of irreducible atomic representations. The building blocks

  12. Link Analysis Ranking Algorithms, Theory, and Experiments #

    E-Print Network [OSTI]

    Rosenthal, Jeffrey S.

    and the widespread accessibility of the Web has led to surge of research activity in the area of information retrieval on the World Wide Web. The seminal papers of Kleinberg [31], and Brin and Page [9] introduced Link Analysis Ranking, where hyperlink structures are used to determine the relative authority of a Web page

  13. A Simple Genetic Algorithm for Biomarker Mining Dusan Popovic1

    E-Print Network [OSTI]

    A Simple Genetic Algorithm for Biomarker Mining Dusan Popovic1 , Alejandro Sifrim1 , Georgios A Universiteit Leuven, Kasteelpark Arenberg 10, box 2446, 3001, Leuven, Belgium {Dusan.Popovic,Alejandro.Sifrim,Georgios.Pavlopoulos,Yves.Moreau, Bart.DeMoor}@esat.kuleuven.be Abstract. We present a method for prognostics biomarker mining based

  14. Food-101 Mining Discriminative Components with Random Forests

    E-Print Network [OSTI]

    Grabner, Helmut

    Food-101 ­ Mining Discriminative Components with Random Forests Lukas Bossard1 Matthieu Guillaumin1-VISICS, K.U. Leuven, Belgium vangool@esat.kuleuven.be Abstract. In this paper we address the problem of automatically rec- ognizing pictured dishes. To this end, we introduce a novel method to mine discriminative

  15. Solar for Mining Hugh Rudnick

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    Solar for Mining Hugh Rudnick Professor Pontificia Universidad Católica de Chile #12;Solar Energy in Mining · Solar energy is becoming affordable · Attractive potential use for mining purposes · Must solve the storage requirement to increase its participation worldwide #12;Solar Energy in Mining · Electrical Energy

  16. Research at Mines Fiscal Year

    E-Print Network [OSTI]

    Matlock, De Moor, Speer #12;New Initiatives · Unconventional Oil & gas, Fracking (Santi) · Mines NREL

  17. Data Mining and Business Analytics

    E-Print Network [OSTI]

    Data Mining and Business Analytics CertifiCate Programs spears school of business oklahoma state university #12;e ach year, students enrolled in the OSU Graduate Certificate in Business Data Mining program compete in a national data mining shootout competition at the annual analytics (data mining) conference

  18. proteinsSTRUCTURE O FUNCTION O BIOINFORMATICS Protein structure mining using

    E-Print Network [OSTI]

    Srinivasan, N.

    proteinsSTRUCTURE O FUNCTION O BIOINFORMATICS Protein structure mining using a structural alphabet to structure prediction and validation. Mining of information from this huge amount of data plays a crucial evaluation of a new structure mining method called PB-ALIGN. It is based on the encod- ing of protein

  19. Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System

    E-Print Network [OSTI]

    Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System Behrouz have two ever-growing pools of data. We have been studying data mining methods for extracting useful shown to be an effective tool to use in data mining and pattern recognition. [7], [10], [6], [16], [15

  20. Predicting Crystal Structures with Data Mining of Quantum Calculations Stefano Curtarolo,1

    E-Print Network [OSTI]

    Curtarolo, Stefano

    Predicting Crystal Structures with Data Mining of Quantum Calculations Stefano Curtarolo,1 Dane studying a new system. This can be contrasted with data-centered methods, which mine existing data obtained from results already collected on other systems. We refer to this approach as data-mining

  1. Mining Feature Importance: Applying Evolutionary Algorithms within a Web-based Educational System

    E-Print Network [OSTI]

    Mining Feature Importance: Applying Evolutionary Algorithms within a Web-based Educational System@lite.msu.edu http://www.lon-capa.org ABSTRACT A key objective of data mining is to uncover the hidden relationships-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied

  2. Data Mining and CRM Applications: MKTG 5963, Section 503 (Tentative Syllabus for Spring 2015)

    E-Print Network [OSTI]

    Data Mining and CRM Applications: MKTG 5963, Section 503 (Tentative Syllabus for Spring 2015 for clarification or software help is ok). Required Text: Text Mining and Analysis: Practical methods, Examples. Reference Texts (Optional materials ­ some of these will be put in reserve at the library) · Data Mining

  3. Data mining in an engineering design environment: OR applications from graph matching1

    E-Print Network [OSTI]

    Nagi, Rakesh

    1 Data mining in an engineering design environment: OR applications from graph matching1 Carol J York 14623 Abstract Data mining has been making inroads into the engineering design environment ­ an area that generates large amounts of heterogeneous data for which suitable mining methods

  4. Data Mining Approach to Ab-Initio Prediction of Crystal Structure Dane Morgan, Gerbrand Ceder

    E-Print Network [OSTI]

    Curtarolo, Stefano

    Data Mining Approach to Ab-Initio Prediction of Crystal Structure Dane Morgan, Gerbrand Ceder of possible structures for new alloys. Here we describe ongoing work on a novel method (Data Mining of Quantum Calculations, or DMQC) that applies data mining techniques to existing ab initio data in order to increase

  5. Frequent Itemset Mining for Big Data Sandy Moens, Emin Aksehirli and Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Antwerpen, Belgium Email: firstname.lastname@uantwerpen.be Abstract--Frequent Itemset Mining (FIM) is oneFrequent Itemset Mining for Big Data Sandy Moens, Emin Aksehirli and Bart Goethals Universiteit new methods for mining large datasets: Dist-Eclat focuses on speed while BigFIM is optimized to run

  6. Indonesian coal mining

    SciTech Connect (OSTI)

    NONE

    2008-11-15

    The article examines the opportunities and challenges facing the Indonesian coal mining industry and how the coal producers, government and wider Indonesian society are working to overcome them. 2 figs., 1 tab.

  7. Algorithms for data mining

    E-Print Network [OSTI]

    Wang, Grant J. (Grant Jenhorn), 1979-

    2006-01-01

    Data of massive size are now available in a wide variety of fields and come with great promise. In theory, these massive data sets allow data mining and exploration on a scale previously unimaginable. However, in practice, ...

  8. Efficient Algorithms for High Dimensional Data Mining

    E-Print Network [OSTI]

    Rakthanmanon, Thanawin

    2012-01-01

    demonstration. Data Mining and Knowledge. Discovery 7, 4,Demonstration,” Data Mining and Knowledge Discovery, vol. 7,and S. Burschka. 2011. Data mining for hackers – encrypted

  9. Data Mining Historical Manuscripts and Culture Artifacts

    E-Print Network [OSTI]

    Zhu, Qiang

    2011-01-01

    information retrieval and data mining have had large impactsinformation retrieval and data mining. In the meanwhile, dueinformation retrieval and data mining have had a large

  10. Mining Test Cases To Improve Software Maintenance

    E-Print Network [OSTI]

    Ziftci, Celal

    Chapter 6 Automatically Mining Requirements Relationships6.4 R EQ R EL E X : Mining Requirements Relationships fromTest Cases . . . . 6.4.1 Mining Requirements

  11. Internet Usage Mining Using Random Forests

    E-Print Network [OSTI]

    Liu, Xuening

    2013-01-01

    Los Angeles Internet Usage Mining Using Random Forests Aof the Thesis Internet Usage Mining Using Random Forests bydata emerges, data mining is finally in the spotlight. This

  12. DTC DATA MINING CONSORTIUM MEMBERSHIP BENEFITS

    E-Print Network [OSTI]

    Minnesota, University of

    DTC DATA MINING CONSORTIUM MEMBERSHIP BENEFITS I Collaboration with leading companies I Creation Analysis Optimization Scalable Database Mining Auto-Mining Agents CUTTING-EDGE CAPABILITIES

  13. Higher rank stable pairs and virtual localization

    E-Print Network [OSTI]

    Artan Sheshmani

    2015-02-08

    We introduce a higher rank analog of the Pandharipande-Thomas theory of stable pairs on a Calabi-Yau threefold $X$. More precisely, we develop a moduli theory for frozen triples given by the data $O^r(-n)\\rightarrow F$ where $F$ is a sheaf of pure dimension 1. The moduli space of such objects does not naturally determine an enumerative theory: that is, it does not naturally possess a perfect symmetric obstruction theory. Instead, we build a zero-dimensional virtual fundamental class by hand, by truncating a deformation-obstruction theory coming from the moduli of objects in the derived category of $X$. This yields the first deformation-theoretic construction of a higher-rank enumerative theory for Calabi-Yau threefolds. We calculate this enumerative theory for local $\\mathbb{P}^1$ using the Graber-Pandharipande virtual localization technique.

  14. Modified Hazard Ranking System/Hazard Ranking System for sites with mixed radioactive and hazardous wastes: Software documentation

    SciTech Connect (OSTI)

    Stenner, R.D.; Peloquin, R.A.; Hawley, K.A.

    1986-11-01

    The mHRS/HRS software package was developed by the Pacific Northwest Laboratory (PNL) under contract with the Department of Energy (DOE) to provide a uniform method for DOE facilities to use in performing their Conservation Environmental Response Compensation and Liability Act (CERCLA) Phase I Modified Hazard Ranking System or Hazard Ranking System evaluations. The program is designed to remove the tedium and potential for error associated with the performing of hand calculations and the interpreting of information on tables and in reference books when performing an evaluation. The software package is designed to operate on a microcomputer (IBM PC, PC/XT, or PC/AT, or a compatible system) using either a dual floppy disk drive or a hard disk storage system. It is written in the dBASE III language and operates using the dBASE III system. Although the mHRS/HRS software package was developed for use at DOE facilities, it has direct applicability to the performing of CERCLA Phase I evaluations for any facility contaminated by hazardous waste. The software can perform evaluations using either the modified hazard ranking system methodology developed by DOE/PNL, the hazard ranking system methodology developed by EPA/MITRE Corp., or a combination of the two. This document is a companion manual to the mHRS/HRS user manual. It is intended for the programmer who must maintain the software package and for those interested in the computer implementation. This manual documents the system logic, computer programs, and data files that comprise the package. Hardware and software implementation requirements are discussed. In addition, hand calculations of three sample situations (problems) with associated computer runs used for the verification of program calculations are included.

  15. System and methods for predicting transmembrane domains in membrane proteins and mining the genome for recognizing G-protein coupled receptors

    DOE Patents [OSTI]

    Trabanino, Rene J; Vaidehi, Nagarajan; Hall, Spencer E; Goddard, William A; Floriano, Wely

    2013-02-05

    The invention provides computer-implemented methods and apparatus implementing a hierarchical protocol using multiscale molecular dynamics and molecular modeling methods to predict the presence of transmembrane regions in proteins, such as G-Protein Coupled Receptors (GPCR), and protein structural models generated according to the protocol. The protocol features a coarse grain sampling method, such as hydrophobicity analysis, to provide a fast and accurate procedure for predicting transmembrane regions. Methods and apparatus of the invention are useful to screen protein or polynucleotide databases for encoded proteins with transmembrane regions, such as GPCRs.

  16. Rankbox: An Adaptive Ranking System for Mining Complex Semantic Relationships Using User Feedback

    E-Print Network [OSTI]

    Hwang, Kai

    project, Cen- ter for Interactive Smart Oilfield Technologies (CiSoft), at the University of Southern

  17. An algorithm for improving Non-Local Means operators via low-rank approximation

    E-Print Network [OSTI]

    Victor May; Yosi Keller; Nir Sharon; Yoel Shkolnisky

    2014-11-20

    We present a method for improving a Non Local Means operator by computing its low-rank approximation. The low-rank operator is constructed by applying a filter to the spectrum of the original Non Local Means operator. This results in an operator which is less sensitive to noise while preserving important properties of the original operator. The method is efficiently implemented based on Chebyshev polynomials and is demonstrated on the application of natural images denoising. For this application, we provide a comprehensive comparison of our method with leading denoising methods.

  18. GPR Method for the Detection and Characterization of Fractures and Karst Features: Polarimetry, Attribute Extraction, Inverse Modeling and Data Mining Techniques 

    E-Print Network [OSTI]

    Sassen, Douglas Spencer

    2011-02-22

    ., 2006) There is still significant scope for development of methods that enhance the detection of fractures by utilizing the vectorial nature of GPR waves and allow for quantitative descriptions of the fracture aperture and fill materials through... on the aperture, fill and orientation of the fracture. As the electromagnetic waves of GPR are vectorial in nature, features exhibiting strong directionality can change the state of polarization of the incident field. GPR methods that focus on changes...

  19. Mines and Quarries: The Coal Mines (Firedamp Drainage) Regulations, 1960 

    E-Print Network [OSTI]

    Wood, Richard

    1960-01-01

    These regulations, which are made by the Minister of Power under section 141 of the Mines and Quarries Act, 1954, apply to the collecting of firedamp in coal mines before it has been diluted by any ventilation therein and ...

  20. Automated Inclusive Design Heuristics Generation with Graph Mining 

    E-Print Network [OSTI]

    Sangelkar, Shraddha Chandrakant

    2013-08-01

    from existing inclusive products. Formalization results show that, the rate of rule generation decreases as more products are added to the dataset. The automated method is particularly helpful in the developmental stages of graph mining applications...

  1. Generic Pattern Mining via Data Mining Template Library

    E-Print Network [OSTI]

    Zaki, Mohammed Javeed

    - rithms for classification, and Weka [20], which is a general purpose Java library of different dataGeneric Pattern Mining via Data Mining Template Library Mohammed J. Zaki, Nilanjana De, Feng Gao. In this paper we propose the Data Mining Template Library, a collec- tion of generic containers and algorithms

  2. MSHA (Mine Safety and Health Administration) approved mine rescue - training module (coal): fires, fire fighting, and explosions. Mine rescue team series

    SciTech Connect (OSTI)

    Not Available

    1984-01-01

    Mine rescue teams frequently must fight fires and guard against the propagation of fires or explosions during a rescue and recovery operation. The team's ability to fight fires depends a great deal on hands-on experience with different fire fighting agents and equipment. The team's work includes an assessment of fire conditions, mine fire gases and other potential hazards associated with fire fighting activity. This training module covers the underlying principles of the fire triangle and the different methods for controlling, containing and extinguishing fires in a mine. The manual also covers fire-fighting equipment, considerations involved in a sealing operation and the cause-effect of explosions.

  3. Carbon Sequestration on Surface Mine Lands

    SciTech Connect (OSTI)

    Donald Graves; Christopher Barton; Richard Sweigard; Richard Warner; Carmen Agouridis

    2006-03-31

    Since the implementation of the federal Surface Mining Control and Reclamation Act of 1977 (SMCRA) in May of 1978, many opportunities have been lost for the reforestation of surface mines in the eastern United States. Research has shown that excessive compaction of spoil material in the backfilling and grading process is the biggest impediment to the establishment of productive forests as a post-mining land use (Ashby, 1998, Burger et al., 1994, Graves et al., 2000). Stability of mine sites was a prominent concern among regulators and mine operators in the years immediately following the implementation of SMCRA. These concerns resulted in the highly compacted, flatly graded, and consequently unproductive spoils of the early post-SMCRA era. However, there is nothing in the regulations that requires mine sites to be overly compacted as long as stability is achieved. It has been cultural barriers and not regulatory barriers that have contributed to the failure of reforestation efforts under the federal law over the past 27 years. Efforts to change the perception that the federal law and regulations impede effective reforestation techniques and interfere with bond release must be implemented. Demonstration of techniques that lead to the successful reforestation of surface mines is one such method that can be used to change perceptions and protect the forest ecosystems that were indigenous to these areas prior to mining. The University of Kentucky initiated a large-scale reforestation effort to address regulatory and cultural impediments to forest reclamation in 2003. During the three years of this project 383,000 trees were planted on over 556 acres in different physiographic areas of Kentucky (Table 1, Figure 1). Species used for the project were similar to those that existed on the sites before mining was initiated (Table 2). A monitoring program was undertaken to evaluate growth and survival of the planted species as a function of spoil characteristics and reclamation practice. In addition, experiments were integrated within the reforestation effort to address specific questions pertaining to sequestration of carbon (C) on these sites.

  4. National Mining Association Experimental Determination

    E-Print Network [OSTI]

    National Mining Association Experimental Determination of Radon Fluxes over Water #12;Introduction research funded by the National Mining Association (NMA) regarding radon fluxes from water surfaces surfaces at uranium recovery operations are insignificant and approximate background soil fluxes for most

  5. Mining problems caused by tectonic stress in Illinois basin

    SciTech Connect (OSTI)

    Nelson, W.J. (Illinois State Geological Survey, Champaign (United States))

    1991-08-01

    The Illinois basin coalfield is subject to a contemporary tectonic stress field in which the principal compressive stress axis ({sigma}1) is horizontal and strikes N60{degree}E to east-west. This stress is responsible for widespread development of kind zones and directional roof failures in mine headings driven perpendicular to {sigma}1. Also, small thrust faults perpendicular to {sigma}1 and joints parallel to {sigma}1 weaken the mine roof and occasionally admit water and gas to workings, depending upon geologic setting. The direction of magnitude of stress have been identified by a variety of techniques that can be applied both prior to mining and during development. Mining experience shows that the best method of minimizing stress-related problems is to drive mine headings at about 45 to {sigma}1.

  6. Minerals and mine drainage

    SciTech Connect (OSTI)

    Liang, H.C.; Thomson, B.M. [Tetra Technical Inc, Denver, CO (United States)

    2009-09-15

    A review of literature published in 2008 and early 2009 on research related to the production of acid mine drainage and/or in the dissolution of minerals as a result of mining, with special emphasis on the effects of these phenomena on the water quality in the surrounding environment, is presented. This review is divided into six sections: 1) Site Characterization and Assessment, 2) Protection, Prevention, and Restoration, 3) Toxicity Assessment, 4) Environmental Fate and Transport, 5) Biological Characterization, and 6) Treatment Technologies. Because there is much overlap in research areas associated with minerals and mine drainage, many papers presented in this review can be classified into more than one category, and the six sections should not be regarded as being mutually-exclusive, nor should they be thought of as being all-inclusive.

  7. School of Mines Undergraduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines

  8. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines

  9. Probabilistic Workflow Mining Ricardo Silva

    E-Print Network [OSTI]

    Silva, Ricardo

    Probabilistic Workflow Mining Ricardo Silva School of Computer Science - CALD Carnegie Mellon a workflow representation of such activ- ities. In either case, machine learning tools that can mine workflow interest. Such a problem has been called process mining (van der Aalst and We- jters, 2004; Greco et al

  10. Logical Itemset Mining Shailesh Kumar

    E-Print Network [OSTI]

    Cortes, Corinna

    Logical Itemset Mining Shailesh Kumar Google Inc. Hyderabad, India Email: shkumar: {chandrasekhar.v@students, jawahar}@iiit.ac.in Abstract--Frequent Itemset Mining (FISM) attempts to find large baskets (projection property). We propose a simple and robust framework called LOGICAL ITEMSET MINING

  11. Multiple-Food Recognition Considering Co-occurrence Employing Manifold Ranking

    E-Print Network [OSTI]

    Yanai, Keiji

    Multiple-Food Recognition Considering Co-occurrence Employing Manifold Ranking Yuji Matsuda-y@mm.cs.uec.ac.jp, yanai@cs.uec.ac.jp Abstract In this paper, we propose a method to recog- nize food images which include multiple food items considering co-occurrence statistics of food items. The proposed method employs

  12. CALCULATING RANKS, NULL SPACES AND PSEUDOINVERSE SOLUTIONS FOR

    E-Print Network [OSTI]

    Foster, Leslie

    CONFERENCE 2009, OCT. 26-31, 2009, M #12;ALGORITM SPQR_NULL SPQR_NULL: returns accurate numerical rank

  13. Random Walker Ranking for NCAA Division I-A Football

    E-Print Network [OSTI]

    Porter, Mason A.

    Random Walker Ranking for NCAA Division I-A Football Thomas Callaghan, Peter J. Mucha, and Mason A the top two NCAA Division I-A college football teams in a National Championship game at the end of each in accurately ranking or even agreeing on a ranking methodology for college football lies in two factors

  14. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  15. The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification

    E-Print Network [OSTI]

    Murphy, Robert F.

    The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using-supervised learning algorithm for classifying political blogs in a blog network and ranking them within predicted.6% using only 2 seed blogs. Introduction We propose a novel algorithm that both classifies political blogs

  16. Chemical structure and properties of low-rank coals treated by hydrothermal process

    SciTech Connect (OSTI)

    Ohki, A.; Xie, X.F.; Nakajima, Tsunenori; Maeda, Shigeru [Kagoshima Univ., Korimoto, Kagoshima (Japan). Dept. of Applied Chemistry and Chemical Engineering

    1998-12-31

    Several methods for upgrading low-rank coals, in which the hygroscopicity is irreversibly reduced into a level for high-rank coals, have been developed. A hydrothermal treatment of coal, such as hot water drying (HWD), is one of the most promising upgrading methods. The HWD method involves a treatment of low-rank coals under high temperature (300-350 C) and high pressure (80-180 kg/cm{sup 2}). Two low-rank coals, Loy Yang coal and Yallourn coal were hydrothermally treated at 150--350 C. The chemical structure and properties of these treated coals have been examined. The analysis of coal includes hygroscopicity, elemental analysis, the content of oxygenic functional groups measured by chemical analysis, FTIR analysis, CP/MAS {sup 13}C NMR analysis, specific surface area, maceral composition, and vitrinite reflectance. When the low-rank coals are hydrothermally treated, the hygroscopicity of coal remarkably decreases. The content of carboxyl group in coal greatly decreases as heat treatment temperature (HTT) is raised. The difference in carboxyl group content in the 350 C-treated coal between from the chemical analysis and from {sup 13}C NMR and FTIR analyses is explained. From these results, the change in chemical structure and properties of coal during the hydrothermal treatment is discussed.

  17. Data Mining and Knowledge Discovery, 7, 215232, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Rocke, David M.

    Data Mining and Knowledge Discovery, 7, 215­232, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. Sampling and Subsampling for Cluster Analysis in Data Mining can be applied to a large variety of data mining methods to allow them to be used on very large data

  18. Germany knows mining

    SciTech Connect (OSTI)

    2006-11-15

    Whether it is the nuance of precision or robust rock breaking strength, German suppliers have the expertise. Germany has about 120 companies in the mining equipment industry, employing some 16,000 people. The article describes some recent developments of the following companies: DBT, Liebherr, Atlas Copco, BASF, Boart Longyear, Eickhoff, IBS, Maschinenfabrik Glueckauf, Komatsu, TAKRA, Terex O & R, Thyssen Krupp Foerdertechnik and Wirtgen. 7 photos.

  19. Distributed Data Mining: An Overview Yongjian Fu

    E-Print Network [OSTI]

    Fu, Yongjian

    Distributed Data Mining: An Overview Yongjian Fu Department of Computer Science University mining. We explain what distri­ bution data mining is and why distributed data mining is interesting. Problems and progress in distributed data mining are also discussed. 1 Introduction Facing a rapidly

  20. Data Mining ICPSR Summer Program, 2008

    E-Print Network [OSTI]

    Stine, Robert A.

    Data Mining ICPSR Summer Program, 2008 Robert Stine Statistics Department Wharton School-stat.wharton.upenn.edu/~stine These lectures introduce data mining. Once a nasty thing to be accused of, data mining has become respectable, useful, and even necessary. What is data mining? Basically, data mining refers to statistical algorithms

  1. CO2 Sequestration Potential of Texas Low-Rank Coals

    SciTech Connect (OSTI)

    Duane McVay; Walter Ayers, Jr.; Jerry Jensen; Jorge Garduno; Gonzola Hernandez; Rasheed Bello; Rahila Ramazanova

    2006-08-31

    Injection of CO{sub 2} in coalbeds is a plausible method of reducing atmospheric emissions of CO{sub 2}, and it can have the additional benefit of enhancing methane recovery from coal. Most previous studies have evaluated the merits of CO{sub 2} disposal in high-rank coals. The objective of this research was to determine the technical and economic feasibility of CO{sub 2} sequestration in, and enhanced coalbed methane (ECBM) recovery from, low-rank coals in the Texas Gulf Coast area. Our research included an extensive coal characterization program, including acquisition and analysis of coal core samples and well transient test data. We conducted deterministic and probabilistic reservoir simulation and economic studies to evaluate the effects of injectant fluid composition (pure CO{sub 2} and flue gas), well spacing, injection rate, and dewatering on CO{sub 2} sequestration and ECBM recovery in low-rank coals of the Calvert Bluff formation of the Texas Wilcox Group. Shallow and deep Calvert Bluff coals occur in two, distinct, coalbed gas petroleum systems that are separated by a transition zone. Calvert Bluff coals < 3,500 ft deep are part of a biogenic coalbed gas system. They have low gas content and are part of a freshwater aquifer. In contrast, Wilcox coals deeper than 3,500 ft are part of a thermogenic coalbed gas system. They have high gas content and are part of a saline aquifer. CO{sub 2} sequestration and ECBM projects in Calvert Bluff low-rank coals of East-Central Texas must be located in the deeper, unmineable coals, because shallow Wilcox coals are part of a protected freshwater aquifer. Probabilistic simulation of 100% CO{sub 2} injection into 20 feet of Calvert Bluff coal in an 80-acre 5-spot pattern indicates that these coals can store 1.27 to 2.25 Bcf of CO{sub 2} at depths of 6,200 ft, with an ECBM recovery of 0.48 to 0.85 Bcf. Simulation results of flue gas injection (87% N{sub 2}-13% CO{sub 2}) indicate that these same coals can store 0.34 to 0.59 Bcf of CO{sub 2} with an ECBM recovery of 0.68 to 1.20 Bcf. Economic modeling of CO{sub 2} sequestration and ECBM recovery indicates predominantly negative economic indicators for the reservoir depths (4,000 to 6,200 ft) and well spacings investigated, using natural gas prices ranging from $2 to $12 per Mscf and CO{sub 2} credits based on carbon market prices ranging from $0.05 to $1.58 per Mscf CO{sub 2} ($1.00 to $30.00 per ton CO{sub 2}). Injection of flue gas (87% N{sub 2} - 13% CO{sub 2}) results in better economic performance than injection of 100% CO{sub 2}. CO{sub 2} sequestration potential and methane resources in low-rank coals of the Lower Calvert Bluff formation in East-Central Texas are significant. The potential CO{sub 2} sequestration capacity of the coals ranges between 27.2 and 49.2 Tcf (1.57 and 2.69 billion tons), with a mean value of 38 Tcf (2.2 billion tons), assuming a 72.4% injection efficiency. Estimates of recoverable methane resources range between 6.3 and 13.6 Tcf, with a mean of 9.8 Tcf, assuming a 71.3% recovery factor. Moderate increases in gas prices and/or carbon credits could generate attractive economic conditions that, combined with the close proximity of many CO{sub 2} point sources near unmineable coalbeds, could enable commercial CO{sub 2} sequestration and ECBM projects in Texas low-rank coals. Additional studies are needed to characterize Wilcox regional methane coalbed gas systems and their boundaries, and to assess potential of other low-rank coal beds. Results from this study may be transferable to other low-rank coal formations and regions.

  2. Ranking Outlier Nodes in Subspaces of Attributed Graphs

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    .mueller, patricia.iglesias, klemens.boehm}@kit.edu yvonne.muelle@student.kit.edu University of Antwerp, Belgium emmanuel.mueller@ua.ac.be Abstract-- Outlier analysis is an important data mining task that aims to detect mining task for fraud detection, network intrusion analysis, anomaly detection in e- commerce, and many

  3. Ground control for highwall mining

    SciTech Connect (OSTI)

    Zipf, R.K.; Mark, C.

    2007-09-15

    Perhaps the greatest risk to both equipment and personnel associated with highwall mining is from ground control. The two most significant ground control hazards are rock falls from highwall and equipment entrapment underground. In the central Appalachians, where the majority of highwall mining occurs in the USA, hillseams (or mountain cracks) are the most prominent structure that affects highwall stability. The article discusses measures to minimise the risk of failure associated with hillstreams. A 'stuck' or trapped highwall miner, and the ensuring retrieval or recovery operation, can be extremely disruptive to the highwall mining process. Most entrapment, are due to roof falls in the hole. The options for recovery are surface retrieval, surface excavation or underground recovery. Proper pillar design is essential to maintain highwall stability and prevent entrapments. NIOSH has developed the Analysis of Retreat Mining Pillar stability-Highwall Mining (ARMPS-HWM) computer program to help mine planners with this process. 10 figs.

  4. Random Walker Ranking for NCAA Division I-A Football

    E-Print Network [OSTI]

    Callaghan, T; Mucha, P J; Callaghan, Thomas; Porter, Mason A.; Mucha, Peter J.

    2003-01-01

    We develop a one-parameter family of ranking systems for NCAA Division I-A football teams based on a collection of voters, each with a single vote, executing independent random walks on a network defined by the teams (vertices) and the games played (edges). The virtue of this class of ranking systems lies in the simplicity of its explanation. We discuss the statistical properties of the randomly walking voters and relate them to the community structure of the underlying network. We compare the results of these rankings for recent seasons with Bowl Championship Series standings and component rankings. To better understand this ranking system, we also examine the asymptotic behaviors of the aggregate of walkers. Finally, we consider possible generalizations to this ranking algorithm.

  5. ON THE IRREDUCIBILITY, LYAPUNOV RANK, AND ...

    E-Print Network [OSTI]

    2013-10-16

    Aug 28, 2013 ... ?(K) > n, one gets an overdetermined system of bilinear relations. In many of these ...... International Journal of Optimization: Theory,. Methods ...

  6. Coal Mining on Pitching Seams

    E-Print Network [OSTI]

    Brown, George MacMillan

    1915-01-01

    compressed air post punchers are used. Where the coal is undercut permissible explosives are used. On all solid shooting black powder is used. It might be said right here that black powder has caused more fires, explosions and deaths than any other one... thing in Oklahoma mines, with the exception probably of falls of rock. However, under ruling of the United States Bureau of Mines black powder will probably eventually be excluded from all mines on Indian lands. On the lower entries, owing...

  7. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    E-Print Network [OSTI]

    Adams, Mark

    2014-01-01

    for Ranking High Performance Computing Systems Mark F. Adamsmetric for ranking high performance computing systems. HPLmetric for ranking high performance computing systems. When

  8. Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation

    E-Print Network [OSTI]

    Jaillet, Patrick

    Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov comes at a cost of poor scalability in the data size. To improve its scalability, this paper presents with larger data). As a result, our LMA method can trade off between the size of the support set and the or

  9. Lowest-rank Solutions of Continuous and Discrete Lyapunov ...

    E-Print Network [OSTI]

    Ziyan Luo

    2012-10-09

    Oct 9, 2012 ... Abstract: The low-rank solutions of continuous and discrete Lyapunov equations are of great importance but generally difficult to achieve in ...

  10. Proceedings of the sixteenth biennial low-rank fuels symposium

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    Low-rank coals represent a major energy resource for the world. The Low-Rank Fuels Symposium, building on the traditions established by the Lignite Symposium, focuses on the key opportunities for this resource. This conference offers a forum for leaders from industry, government, and academia to gather to share current information on the opportunities represented by low-rank coals. In the United States and throughout the world, the utility industry is the primary user of low-rank coals. As such, current experiences and future opportunities for new technologies in this industry were the primary focuses of the symposium.

  11. Particulate control for low rank coals

    SciTech Connect (OSTI)

    Touzel, R.McD.

    1993-12-31

    The power generating system in Victoria currently comprises a total capacity of 6650 MW. Eighty percent of this capacity consists of base load stations in the Latrobe Valley using brown coal. The Latrobe Valley brown coals have unique characteristics with high moisture content ranging from 58 percent to 70 percent and an ash content which is relatively low but very variable in nature. These and other factors associated with the coal have caused special problems in handling and combustion of the coal and the de-dusting of the boiler flue gases. In recent years, this has been the basis for the design parameters adopted for all the plants in the system. With respect to flue gas de-dusting, the SECV has carried out extensive laboratory studies to characterize the different ashes obtained from the Latrobe Valley brown coals, including precipitability and aerodynamic tests. It also carried out full-scale tests on operating plants and pilot tests have been conducted on inertial collectors, precipitators and bag filters. The Environmental Protection Authority of Victoria has established a particulate emission level of 0.150 grams/m{sup 3} n.t.p. dry for recent Latrobe Valley boilers. However, the mandated emission level takes into account wide variations in operating conditions, and the plants normally achieve much lower emission levels. The Latrobe Valley plants presently in operation include Yallourn W (2x350 MW + 2x375 MW), Morwell (170 MW total and briquette factory), Hazelwood (8x200 MW) and Loy Yang (4x500 MW). The Yalloum W boilers are supplied with coal from the Yalloum Open Cut, the Morwell and Hazelwood boilers from the Morwell Open Cut and Loy Yang boilers from the Loy Yang Open Cut. All boilers are pulverized coal fired (PCF) and incorporate special firing equipment to enable the as-mined wet coal to be fired directly into the furnaces. All boilers are fitted with electrostatic precipitators. The locations of the stations and open cuts are shown.

  12. Exact Primitives for Time Series Data Mining

    E-Print Network [OSTI]

    Mueen, Abdullah Al

    2012-01-01

    on Knowledge discovery and data mining, KDD, pages 947–956,on Knowledge discovery and data mining, KDD ’11, pages [15]on Knowledge discovery and data mining, KDD ’03, pages 493–

  13. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Richard A. Berk

    2011-01-01

    2003) Exploratory Data Mining and Data Cleaning. New York:I.H. and E. Frank. (2000). Data Mining. New York: Morgan and2001) Principle of Data Mining. Cambridge, Massachusetts:

  14. Data Mining Within a Regression Framework

    E-Print Network [OSTI]

    Richard A. Berk

    2011-01-01

    I.H. and E. Frank. (2000). Data Mining. New York: Morgan and2003) Exploratory Data Mining and Data Cleaning. New York:2001) Principle of Data Mining. Cambridge, Massachusetts:

  15. Exact Primitives for Time Series Data Mining

    E-Print Network [OSTI]

    Mueen, Abdullah Al

    2012-01-01

    G. Silva, and Rui M. M. Brito. Mining approximate motifs intime series. In Data Mining, 2001. ICDM 2001, Proceedingson Knowledge discovery and data mining, KDD, pages 947–956,

  16. Data Mining Historical Manuscripts and Culture Artifacts

    E-Print Network [OSTI]

    Zhu, Qiang

    2011-01-01

    Workshop on Temporal Data Mining. [62] Liu, Y. , Zhang, D. ,Faloutsos, C. 2006. Automatic mining of fruit fly embryo2011. The Mouse that Roared: Mining Massive Archives of Mice

  17. Efficient Algorithms for High Dimensional Data Mining

    E-Print Network [OSTI]

    Rakthanmanon, Thanawin

    2012-01-01

    E. J. Keogh. 2008. Querying and mining of time series data:Dupasquier and S. Burschka. 2011. Data mining for hackers –encrypted traffic mining. The 28 th Chaos Comm’ Congress. Y.

  18. Low rank approach to computing first and higher order derivatives using automatic differentiation

    SciTech Connect (OSTI)

    Reed, J. A.; Abdel-Khalik, H. S. [North Carolina State Univ., Dept. of Nuclear Engineering, Raleigh, NC 27695-7909 (United States); Utke, J. [Mathematics and Computer Science Div., Argonne National Laboratory, Argonne, IL 60439 (United States)

    2012-07-01

    This manuscript outlines a new approach for increasing the efficiency of applying automatic differentiation (AD) to large scale computational models. By using the principles of the Efficient Subspace Method (ESM), low rank approximations of the derivatives for first and higher orders can be calculated using minimized computational resources. The output obtained from nuclear reactor calculations typically has a much smaller numerical rank compared to the number of inputs and outputs. This rank deficiency can be exploited to reduce the number of derivatives that need to be calculated using AD. The effective rank can be determined according to ESM by computing derivatives with AD at random inputs. Reduced or pseudo variables are then defined and new derivatives are calculated with respect to the pseudo variables. Two different AD packages are used: OpenAD and Rapsodia. OpenAD is used to determine the effective rank and the subspace that contains the derivatives. Rapsodia is then used to calculate derivatives with respect to the pseudo variables for the desired order. The overall approach is applied to two simple problems and to MATWS, a safety code for sodium cooled reactors. (authors)

  19. Proceedings, 26th international conference on ground control in mining

    SciTech Connect (OSTI)

    Peng, S.S.; Mark, C.; Finfinger, G. (and others) (eds.)

    2007-07-01

    Papers are presented under the following topic headings: multiple-seam mining, surface subsidence, coal pillar, bunker and roadway/entry supports, mine design and highwall mining, longwall, roof bolting, stone and hardrock mining, rock mechanics and mine seal.

  20. Roof control strategies for underground coal mines

    SciTech Connect (OSTI)

    Smith, W.C. (Bureau of Mines, Denver, CO (United States))

    1993-01-01

    Roof support, an important aspect of ground control, involves maintaining roof competency to ensure a safe and efficient mining environment. Wide variability in rock quality and stress distributions requires a systematic approach to roof support design that satisfies specific goals. The success of past roof support in reducing the incidence of roof falls has been primarily attributed to safer roof bolting practices. However, roof falls continue to be the number one occupational hazard in underground coal mines. This US Bureau of Mines report presents a general overview of roof bolting and other roof support methods used in the United States. Characteristics of bad roof and associated roof failure theories are briefly presented as background to roof support. Methods of detecting and monitoring roof behavior and/or bolt performance provide essential feedback on roof support requirements. A discussion follows on roof bolt design that assimilates roof and support parameters into useful equations or nomographs to help decide what bolt types to use and how they should be installed under different roof conditions. 35 refs., 8 figs.

  1. Marine clathrate mining and sediment separation

    DOE Patents [OSTI]

    Borns, David J. (Albuquerque, NM); Hinkebein, Thomas E. (Albuquerque, NM); Lynch, Richard W. (Albuquerque, NM); Northrop, David A. (Albuquerque, NM)

    2001-01-01

    A method and apparatus for mining of hydrocarbons from a hydrocarbon-containing clathrate such as is found on the ocean floor. The hydrocarbon containing clathrate is disaggregated from sediment by first disrupting clathrate-containing strata using continuous mining means such as a rotary tilling drum, a fluid injector, or a drill. The clathrate-rich portion of sediment thus disrupted from the sea floor strata are carried through the apparatus to regions of relative lower pressure and/or relative higher temperature where the clathrate further dissociates into component hydrocarbons and water. The hydrocarbon is recovered with the assistance of a gas that is injected and buoys the hydrocarbon containing clathrate helping it to rise to regions of lower pressure and temperature where hydrocarbon is released. The sediment separated from the hydrocarbon returns to the ocean floor.

  2. FREQUENT SET MINING Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Chapter 17 FREQUENT SET MINING Bart Goethals Departement of Mathemati1cs and Computer Science, University of Antwerp, Belgium bart.goethals@ua.ac.be Abstract Frequent sets lie at the basis of many Data Mining algorithms. As a result, hun- dreds of algorithms have been proposed in order to solve

  3. Web Mining for Hyperlinked Communities

    E-Print Network [OSTI]

    Hu, Wen-Chen

    Web Mining for Hyperlinked Communities Gary William Flake flake@research.nj.nec.com NEC Research Institute #12;Motivation for Web Mining More than 1B web pages and 20TB of raw data. Even more content will always be disorganized (or at best self-organized). In the future, everything will be on the web

  4. Characterization of Logics Over Ranked Tree Thomas Place

    E-Print Network [OSTI]

    Doyen, Laurent

    Characterization of Logics Over Ranked Tree Languages Thomas Place LSV, ENS-Cachan, CNRS, INRIA combinations of 1 over ranked trees. In particular, we provide effective characterizations of those three logics using algebraic identities. Characterizations had already been obtained for those logics over

  5. Distribution of ranks of ?-decay half-lives

    E-Print Network [OSTI]

    Juan Miguel Campanario

    2010-11-21

    I studied the distribution of ranks of values of 2949 {\\beta}-decay half-lives according to an empirical beta law with two exponents. {\\beta}-decay half-life ranks showed good fit to a beta function with two exponents.

  6. Finding True Beliefs: Applying Rank-Dependent Expected Utility Theory

    E-Print Network [OSTI]

    Chen, Yiling

    -making that incorporates probability weighting and non-linear utility functions, to the analysis of the quadratic scoringFinding True Beliefs: Applying Rank-Dependent Expected Utility Theory to Proper Scoring Rules-value maximizers. Thus, we apply rank-dependent expected utility theory, a more general model of decision

  7. Computable structures of Scott rank # CK familiar classes

    E-Print Network [OSTI]

    Calvert, Wesley

    Computable structures of Scott rank # CK 1 in familiar classes W. Calvert, S. S. Goncharov, and J. F. Knight # July 6, 2005 Abstract There are familiar examples of computable structures having various computable Scott ranks. There are also familiar structures, such as the Harrison ordering

  8. Rankings of Academic Journals and Institutions in Economics

    E-Print Network [OSTI]

    Rankings of Academic Journals and Institutions in Economics Pantelis Kalaitzidakis University European Economic Association is gratefully acknowledged. #12;1 Introduction There has been a lot of recent research literature on rankings of economics departments throughout the world. They serve as signals tools

  9. Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    E-Print Network [OSTI]

    Zhang, Liqing

    IEEEProof Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination Qibin--CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existing CP algorithms require the tensor rank

  10. AS A MINING ENGINEER Mining provides the raw materials and energy resources needed to sustain modern civilization. Mining Engineers

    E-Print Network [OSTI]

    Capecchi, Mario R.

    AS A MINING ENGINEER Mining provides the raw materials and energy resources needed to sustain modern civilization. Mining Engineers are trained to determine the safest most sustainable way to remove, metals, and fuels each year, making mining an indispensable part of our daily life and world economy

  11. NEW MEXICO SCHOOL OF MINES STATE BUREAU OF MINES AND MINERAL RESOURCES

    E-Print Network [OSTI]

    Lee, Cin-Ty Aeolus

    NEW MEXICO SCHOOL OF MINES STATE BUREAU OF MINES AND MINERAL RESOURCES BULLETIN 13 FRONTISPIECE PIT AT HARDING MINE (To left of dump) DUMP AT HARDING MINE (To right of pit) #12;NEW MEXICO SCHOOL OF MINES STATE and Economic Features of the Pegmatites of Taos and Rio Arriba Counties, New Mexico By EVAN JUST SOCORRO, N. M

  12. Mining Association Rules in Long Sequences Boris Cule and Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Association Rules in Long Sequences Boris Cule and Bart Goethals University of Antwerp, Middelheimlaan 1, 2020 Antwerpen, Belgium {boris.cule,bart.goethals}@ua.ac.be Abstract. Discovering interesting in data mining. Most existing methods define patterns as interesting if they oc- cur frequently enough

  13. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics Colorado School of Mines CGEM Alisa Marie Green #12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: November 06, 2003 Advisor: Dr. Yaoguo Li

  14. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics Colorado School of Mines CGEM Dongjie Cheng #12;#12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: December 2003 Advisor: Dr. Yaoguo Li (GP

  15. Social Media Mining: Fundamental Issues and Challenges

    E-Print Network [OSTI]

    Liu, Huan

    Social Media Mining: Fundamental Issues and Challenges Mohammad Ali Abbasi, Huan Liu, and Reza Zafarani Data Mining and Machine Learning Lab Arizona State University http://icdm2013.zafarani.net December 10, 2013 #12;2Social Media Mining Measures and Metrics 2Social Media Mining ICDM 2013 Tutorial

  16. AREA OVERVIEW----Agent & Data Mining Interaction

    E-Print Network [OSTI]

    Cao, Longbing

    AREA OVERVIEW---- Agent & Data Mining Interaction (ADMI) Longbing Cao Faculty of Information in a Multiple Agent Environment", EWSL91, 1991 Agent-based data mining & knowledge discovery by Davies, W., 1994 Research topics Agent driven data mining Data mining driven agents & multi- agent systems Mutual issues

  17. ANALYSIS OF MINING EXPLOSION PERFORMANCE WITH MULTIPLE

    E-Print Network [OSTI]

    Stump, Brian W.

    ANALYSIS OF MINING EXPLOSION PERFORMANCE WITH MULTIPLE SENSOR DATA AND PHYSICAL MODELS Brian W Martin Thunder Basin Coal Company Wright, Wyoming #12;Analysis of Mining Explosion Performance 2 1 to Different Types of Mining Explosions · Single Shot · Cast Blast · Coal Fragmentation #12;Analysis of Mining

  18. Mining Weighted Association Rules without Preassigned Weights

    E-Print Network [OSTI]

    Bai, Fengshan

    Mining Weighted Association Rules without Preassigned Weights Ke Sun and Fengshan Bai Abstract--Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does not work on databases with only binary attributes

  19. Identifying Relevant Databases for Multidatabase Mining

    E-Print Network [OSTI]

    Liu, Huan

    Identifying Relevant Databases for Multidatabase Mining Huan Liu, Hongjun Lu, Jun Yao Department,luhj,yaojung@iscs.nus.edu.sg Abstract. Various tools and systems for knowledge discovery and data mining are developed and available is where we should start mining. In this paper, breaking away from the conventional data mining assumption

  20. Physics high-ranking Journals (category 2) Advances in Physics

    E-Print Network [OSTI]

    Bataillon, Thomas

    Physics high-ranking Journals (category 2) Advances in Physics Annual Review of Astronomy and Astrophysics Annual Review of Nuclear and Particle Science Applied Physics Letters Astronomy & Astrophysics Astronomy and Astrophysics Review Astrophysical Journal European Physical Journal D. Atomic, Molecular

  1. Appendix 14 CSKT Sensitive Species and Heritage Program Ranks for

    E-Print Network [OSTI]

    lemming Wolverine Gray wolf Fisher Grizzly bear River Otter Lynx Montana Natural Heritage Program Ranks Botrychium lineare Linearleaf Moonwort G1 S1 C Botrychium montanum Mountain Moonwort G3 S3 SENSITIVE

  2. Introduction Florida ranks second among the states in fresh market

    E-Print Network [OSTI]

    Ma, Lena

    corn, tomatoes and watermelons. Florida ranks second in fresh market value of strawberry, sweet pepper.5 % of the state's total value. Other major crops with a lesser proportion of the 2009 crop value were strawberry

  3. Linear rank inequalities on five or more variables

    E-Print Network [OSTI]

    Dougherty, Randall; Zeger, Kenneth

    2009-01-01

    Ranks of subspaces of vector spaces satisfy all linear inequalities satisfied by entropies (including the standard Shannon inequalities) and an additional inequality due to Ingleton. It is known that the Shannon and Ingleton inequalities generate all such linear rank inequalities on up to four variables, but it has been an open question whether additional inequalities hold for the case of five or more variables. Here we give a list of 24 inequalities which, together with the Shannon and Ingleton inequalities, generate all linear rank inequalities on five variables. We also give a partial list of linear rank inequalities on six variables and general results which produce such inequalities on an arbitrary number of variables; we prove that there are essentially new inequalities at each number of variables beyond four (a result also proved recently by Kinser).

  4. NETL's New Supercomputer Ranks Among the World's Top 100 | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Computer for Energy and the Environment (HPCEE) is not only on the TOP500 list as one of the top 100 supercomputers in the world--currently ranked at 55--but it is...

  5. Evaluation and Ranking of Geothermal Resources for Electrical Generation or Electrical Offset in Idaho, Montana, Oregon and Washington. Volume I.

    SciTech Connect (OSTI)

    Bloomquist, R. Gordon

    1985-06-01

    The objective was to consolidate and evaluate all geologic, environmental, and legal and institutional information in existing records and files, and to apply a uniform methodology to the evaluation and ranking of sites to allow the making of creditable forecasts of the supply of geothermal energy which could be available in the region over a 20 year planning horizon. A total of 1265 potential geothermal resource sites were identified from existing literature. Site selection was based upon the presence of thermal and mineral springs or wells and/or areas of recent volcanic activity and high heat flow. 250 sites were selected for detailed analysis. A methodology to rank the sites by energy potential, degree of developability, and cost of energy was developed. Resource developability was ranked by a method based on a weighted variable evaluation of resource favorability. Sites were ranked using an integration of values determined through the cost and developability analysis. 75 figs., 63 tabs.

  6. Privacy-preserving data mining 

    E-Print Network [OSTI]

    Zhang, Nan

    2009-05-15

    In the research of privacy-preserving data mining, we address issues related to extracting knowledge from large amounts of data without violating the privacy of the data owners. In this study, we first introduce an integrated baseline architecture...

  7. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines & Divisions. . . . . . . . . . . . . . . . 5 General Information . . . . . . . . . . . . . . . . . . . . . 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values

  8. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines . . . . . . . . . . . . . . . . . 5 Academic Departments & Divisions . . . . . . . . . . . . 5 General Information 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values and Principles

  9. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

    is for your use as a source of continuing reference. Please save it. Published by Colorado School of Mines General Information . . . . . . . . . . . . . . . . . . . . . 6 Mission and Goals . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Institutional Values and Principles . . . . . . . . . . . . . . 6 History of CSM

  10. MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUM

    E-Print Network [OSTI]

    Ratigan, J.L.

    2013-01-01

    Static Evaluation of Mining Subsidence," Rep. No. LBL-11356,MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUMMODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR ~lliDIUM

  11. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

    Vilches, Erika; Escobar, Ivan A.; Vallejo, E E; Taylor, C E

    2006-01-01

    11] Witten, I. ; Frank, E. ; Data Mining: Practical MachineData Mining Applied to Acoustic Bird Species Recognitionthe application of data mining techniques to the problem of

  12. Abiotic Oxidation Rate of Chalcopyrite: Implications for Seafloor Mining

    E-Print Network [OSTI]

    Bilenker, Laura Danielle

    2011-01-01

    in Seawater: Implications for Mining Seafloor Hot Spring.American Institute of Mining, Metallurgical, and PetroleumImplications for Seafloor Mining A Thesis submitted in

  13. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

    Vilches, Erika; Escobar, Ivan A.; Vallejo, E E; Taylor, C E

    2006-01-01

    I. ; Frank, E. ; Data Mining: Practical Machine LearningData Mining Applied to Acoustic Bird Species Recognitionthe application of data mining techniques to the problem of

  14. Mining Time Series Data: Flying Insect Classification and Detection

    E-Print Network [OSTI]

    Chen, Yanping

    2015-01-01

    Application of Data Mining. ” KDD'11: 761-764, 2011. G.Wang, E. J. Keogh. “Querying and mining of time series data.Mining

  15. Metabolically active eukaryotic communities in extremely acidic mine drainage

    E-Print Network [OSTI]

    Baker, Brett J; Lutz, M A; Dawson, S C; Bond, P L; Banfield, J F

    2004-01-01

    Microbial communities in acid mine drainage. FEMS Microbiol.Biogeochem- istry of acid mine drainage at Iron Mountain,in an extreme acid mine drainage environment. Appl. Environ.

  16. Abiotic Oxidation Rate of Chalcopyrite: Implications for Seafloor Mining

    E-Print Network [OSTI]

    Bilenker, Laura Danielle

    2011-01-01

    the formation of acid mine drainage: Colonization of pyritegroundwaters yields acid mine drainage. Pulverization of SMSand groundwaters can yield acid mine drainage via overall

  17. ITP Mining: Energy and Environmental Profile of the U.S. Mining Industry (December 2002)

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy and the National Mining Association are working in partnership to implement the Mining Industry of the Future strategy.

  18. ITP Mining: The Future Begins with Mining- A Vision of the Mining Industry of the Future

    Broader source: Energy.gov [DOE]

    This vision document details long-term goals and objectives for the mining industry. Stemming from this vision document, targeted technology roadmaps were developed that describe pathways of research to achieve the vision goals.

  19. Dear Rector Simos E. Simopoulos, We are pleased to inform you that your university is ranked excellently in the 2013 Performance Ranking of Scientific Papers for World Universities.

    E-Print Network [OSTI]

    Psarrakos, Panayiotis

    excellently in the 2013 Performance Ranking of Scientific Papers for World Universities. http Performance Ranking of Scientific Papers for World Universities. 72 for Civil Engineering 88 for Chemical Ranking of Scientific Papers for World Universitie is released by the National Taiwan University Ranking

  20. Technology experience and economics of oil shale mining in Estonia

    SciTech Connect (OSTI)

    Fraiman, J.; Kuzmiv, I. [Estonian Oil Shale State Co., Jyhvi (Estonia). Scientific Research Center

    1995-11-01

    The exhaustion of fuel-energy resources became an evident problem of the European continent in the 1960s. Careful utilization of their own reserves of coal, oil, and gas (Germany, France, Spain) and assigned shares of imports of these resources make up the strategy of economic development of the European countries. The expansion of oil shale utilization is the most topical problem. The experience of mining oil shale deposits in Estonia and Russia, in terms of the practice and the economic results, is reviewed in this article. The room-and-pillar method of underground mining and the open-cut technology of clearing the ground ensure the fertility of a soil. The economics of underground and open pit oil shale mines is analyzed in terms of natural, organizational, and technical factors. These analyses are used in the planning and management of oil shale mining enterprises. The perspectives of the oil shale mining industry of Estonia and the economic expediency of multiproduction are examined. Recommendations and guidelines for future industrial utilization of oil shale are given in the summary.

  1. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    SHAFT SINKING IN-MINE DRILLiNG NEW MINE - 1500 M SURFACEORILUNG SHAFT SINKiNG FACIUTY DEVELOPMENT IN-MINE DRILLINGSURFACE DRILLING FACIUTY DEVELOPMENT IN-MINE DRILLING ~~NGM!

  2. Prediction of postmine ground-water quality at a Texas surface lignite mine 

    E-Print Network [OSTI]

    Wise, Clifton Farrell

    1995-01-01

    The prediction Of postmine ground-water quality is encumbered with many complications resulting from the complex hydrologic system found in mine spoils. Current analytical methods such as acid/base accounting have only had limited success...

  3. On the Balance of a Set of Ranks 

    E-Print Network [OSTI]

    Zelditch, Morris Jr; Anderson, Bo

    2015-07-13

    the balance o f a s e t o f ranks. A theory o f rank balance i s concerned w ith s itu a t io n s in which a c to r s , s ta tu s e s , or c o l le c t iv e s are ranked in se v e r a l d if fe r e n t ways which can be regarded as in c o n... s is t e n t ? Some examples are: the Negro p r o fe s s io n a l, the w ealthy Jew, the im poverished Boston Brahmin, the $5,000 a year Harvard Ph»D. I t i s w id ely supposed th at d iscrep a n c ies o f th is kind are a source o f s t r a...

  4. Phenomena Identification and Ranking Technique (PIRT) Panel Meeting Summary Report

    SciTech Connect (OSTI)

    Mark Holbrook

    2007-07-01

    Phenomena Identification and Ranking Technique (PIRT) is a systematic way of gathering information from experts on a specific subject and ranking the importance of the information. NRC, in collaboration with DOE and the working group, conducted the PIRT exercises to identify safety-relevant phenomena for NGNP, and to assess and rank the importance and knowledge base for each phenomenon. The overall objective was to provide NRC with an expert assessment of the safety-relevant NGNP phenomena, and an overall assessment of R and D needs for NGNP licensing. The PIRT process was applied to five major topical areas relevant to NGNP safety and licensing: (1) thermofluids and accident analysis (including neutronics), (2) fission product transport, (3) high temperature materials, (4) graphite, and (5) process heat for hydrogen cogeneration.

  5. Using Lotkaian Informetrics for Ranking in Digital Libraries

    E-Print Network [OSTI]

    Schaer, Philipp

    2011-01-01

    The purpose of this paper is to propose the use of models, theories and laws in bibliometrics and scientometrics to enhance information retrieval processes, especially ranking. A common pattern in many man-made data sets is Lotka's Law which follows the well-known power-law distributions. These informetric distributions can be used to give an alternative order to large and scattered result sets and can be applied as a new ranking mechanism. The polyrepresentation of information in Digital Library systems is used to enhance the retrieval quality, to overcome the drawbacks of the typical term-based ranking approaches and to enable users to explore retrieved document sets from a different perspective.

  6. Iowa State Mining and Mineral Resources Research Institute

    SciTech Connect (OSTI)

    Not Available

    1990-08-01

    This final report describes the activities of the Iowa State Mining and Mineral Resources Research Institute (ISMMRRI) at Iowa State University for the period July 1, 1989, to June 30, 1990. Activities include research in mining- and mineral-related areas, education and training of scientists and engineers in these fields, administration of the Institute, and cooperative interactions with industry, government agencies, and other research centers. During this period, ISMMRRI has supported research efforts to: (1) Investigate methods of leaching zinc from sphalerite-containing ores. (2) Study the geochemistry and geology of an Archean gold deposit and of a gold-telluride deposit. (3) Enchance how-quality aggregates for use in construction. (4) Pre-clean coal by triboelectric charging in a fluidized-bed. (5) Characterize the crystal/grain alignment during processing of yttrium-barium-copper-perovskite (1-2-3) superconductors. (5) Study the fluid inclusion properties of a fluorite district. (6) Study the impacts of surface mining on community planning. (7) Assess the hydrophobicity of coal and pyrite for beneficiation. (8) Investigate the use of photoacoustic absorption spectroscopy for monitoring unburnt carbon in the exhaust gas from coal-fired boilers. The education and training program continued within the interdepartmental graduate minor in mineral resources includes courses in such areas as mining methods, mineral processing, industrial minerals, extractive metallurgy, coal science and technology, and reclamation of mined land. In addition, ISMMRRI hosted the 3rd International Conference on Processing and Utilization of High-Sulfur Coals in Ames, Iowa. The Institute continues to interact with industry in order to foster increased cooperation between academia and the mining and mineral community.

  7. The Coal and Other Mines (Mechanics and Electricians) Regulations 1965 

    E-Print Network [OSTI]

    Lee, Fred

    1965-01-01

    STATUTORY INSTRUMENTS 1965 No. 1559 MINES AND QUARRIES The Coal and Other Mines (Mechanics and Electricians) Regulations 1965

  8. ORS 517 - Mining and Mining Claims | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI VenturesNewSt. Louis, Minnesota:Nulato,Nyack, - Mining and Mining Claims

  9. Enhancing Invenio Digital Library With An External Relevance Ranking Engine

    E-Print Network [OSTI]

    Glauner, Patrick Oliver

    Invenio is a comprehensive web-based free digital library software suite originally developed at CERN. In order to improve its information retrieval and word similarity ranking capabilities, the goal of this thesis is to enhance Invenio by bridging it with modern external information retrieval systems. In the first part a comparison of various information retrieval systems such as Solr and Xapian is made. In the second part a system-independent bridge for word similarity ranking is designed and implemented. Subsequently, Solr and Xapian are integrated in Invenio via adapters to the bridge. In the third part scalability tests are performed. Finally, a future outlook is briefly discussed.

  10. WIPP Takes Second in Mine Rescue Competition

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – EM’s Waste Isolation Pilot Plant (WIPP) mine rescue team placed second in the Southwestern Regional Mine Rescue Competition this past spring in Carlsbad, and it took home more than a trophy.

  11. Incident Data Analysis Using Data Mining Techniques 

    E-Print Network [OSTI]

    Veltman, Lisa M.

    2010-01-16

    of data mining and text mining to analyze the Hazardous Substances Emergency Events Surveillance (HSEES) system data by identifying relationships among variables, predicting the occurrence of injuries, and assessing the value added by the text data...

  12. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/1/15: Written exam, seminar proposal discussion · 2013/2/12: Data mining seminar

  13. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes Petra Kralj Novak Petra.Kralj.Novak@ijs.si on Weka 3: Descriptive data mining ­ Discussion about seminars and exam · 2013/12/16: Written exam

  14. LLM Oil, Gas and Mining Law Module Information: Oil, Gas & Mining Environmental Law I and

    E-Print Network [OSTI]

    Evans, Paul

    LLM Oil, Gas and Mining Law Module Information: Oil, Gas & Mining Environmental Law I and Oil, Gas of the area of Oil, Gas &, Mining Environmental Law; 2. communicate complex legal concepts that apply within the area of Oil, Gas & Mining & Environmental Law to a high level of competence; and 3. deploy a highly

  15. MINING ENGINEERING AT McGILL Bachelor of Engineering in Mining Engineering

    E-Print Network [OSTI]

    Barthelat, Francois

    mining engineering program in Canada and the second oldest in North America. The program offers students work term placements have included coal mining in New Mexico, zinc mining in the Arctic, gold mining Canada on work terms -- Val d'Or, Quebec; Fraser Lake, British Columbia; Ottawa and Sudbury, Ontario

  16. Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer

    E-Print Network [OSTI]

    Morik, Katharina

    Spatial Data Mining, Michael May, Fraunhofer AIS 1 Spatial Data Mining for Customer Segmentation Data Mining in Practice Seminar, Dortmund, 2003 Dr. Michael May Fraunhofer Institut Autonome Intelligente Systeme #12;Spatial Data Mining, Michael May, Fraunhofer AIS 2 Introduction: a classic example

  17. 08/22/2004 MRDM 2004 Workshop 1 Link MiningLink Mining

    E-Print Network [OSTI]

    Dzeroski, Saso

    08/22/2004 MRDM 2004 Workshop 1 Link MiningLink Mining Lise Getoor University of Maryland, College Park joint work with Indrajit Bhattacharya, Qing Lu and Prithviraj Sen #12;08/22/2004 MRDM 2004 detection · Group Detection · Conclusion #12;08/22/2004 MRDM 2004 Workshop 3 Link MiningLink Mining

  18. Data Mining Research: Opportunities and Challenges Data Mining Research: Opportunities and Challenges

    E-Print Network [OSTI]

    Grossman, Robert

    Data Mining Research: Opportunities and Challenges 1 Data Mining Research: Opportunities and Challenges A Report of three NSF Workshops on Mining Large, Massive, and Distributed Data* Robert Grossman, 1997 and February, 1998 to discuss the current state of the art of data mining and data intensive

  19. Generic Pattern Mining via Data Mining Template Library Nilanjana De, Feng Gao, Paolo Palmerini

    E-Print Network [OSTI]

    Bystroff, Chris

    Generic Pattern Mining via Data Mining Template Library Nilanjana De, Feng Gao, Paolo Palmerini Department, Rensselaer Polytechnic Institute, Troy NY 12180 Abstract Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and use- ful patterns in massive, complex datasets. In this paper

  20. Coal mine methane global review

    SciTech Connect (OSTI)

    2008-07-01

    This is the second edition of the Coal Mine Methane Global Overview, updated in the summer of 2008. This document contains individual, comprehensive profiles that characterize the coal and coal mine methane sectors of 33 countries - 22 methane to market partners and an additional 11 coal-producing nations. The executive summary provides summary tables that include statistics on coal reserves, coal production, methane emissions, and CMM projects activity. An International Coal Mine Methane Projects Database accompanies this overview. It contains more detailed and comprehensive information on over two hundred CMM recovery and utilization projects around the world. Project information in the database is updated regularly. This document will be updated annually. Suggestions for updates and revisions can be submitted to the Administrative Support Group and will be incorporate into the document as appropriate.

  1. DOE SBIR Phase II Final Report: Distributed Relevance Ranking in Heterogeneous Document Collections

    SciTech Connect (OSTI)

    Abe Lederman

    2007-01-08

    This report contains the comprehensive summary of the work performed on the SBIR Phase II project (“Distributed Relevance Ranking in Heterogeneous Document Collections”) at Deep Web Technologies (http://www.deepwebtech.com). We have successfully completed all of the tasks defined in our SBIR Proposal work plan (See Table 1 - Phase II Tasks Status). The project was completed on schedule and we have successfully deployed an initial production release of the software architecture at DOE-OSTI for the Science.gov Alliance's search portal (http://www.science.gov). We have implemented a set of grid services that supports the extraction, filtering, aggregation, and presentation of search results from numerous heterogeneous document collections. Illustration 3 depicts the services required to perform QuickRank™ filtering of content as defined in our architecture documentation. Functionality that has been implemented is indicated by the services highlighted in green. We have successfully tested our implementation in a multi-node grid deployment both within the Deep Web Technologies offices, and in a heterogeneous geographically distributed grid environment. We have performed a series of load tests in which we successfully simulated 100 concurrent users submitting search requests to the system. This testing was performed on deployments of one, two, and three node grids with services distributed in a number of different configurations. The preliminary results from these tests indicate that our architecture will scale well across multi-node grid deployments, but more work will be needed, beyond the scope of this project, to perform testing and experimentation to determine scalability and resiliency requirements. We are pleased to report that a production quality version (1.4) of the science.gov Alliance's search portal based on our grid architecture was released in June of 2006. This demonstration portal is currently available at http://science.gov/search30 . The portal allows the user to select from a number of collections grouped by category and enter a query expression (See Illustration 1 - Science.gov 3.0 Search Page). After the user clicks “search” a results page is displayed that provides a list of results from the selected collections ordered by relevance based on the query expression the user provided. Our grid based solution to deep web search and document ranking has already gained attention within DOE, other Government Agencies and a fortune 50 company. We are committed to the continued development of grid based solutions to large scale data access, filtering, and presentation problems within the domain of Information Retrieval and the more general categories of content management, data mining and data analysis.

  2. UK mining invests, suppliers profit

    SciTech Connect (OSTI)

    2009-04-15

    In the midst of a major economic crisis in the United Kingdom, equipment suppliers have been reporting a number of considerable purchases by British coal mining companies. In December 2008, Liebherr-Great Britain delivered the first two of four Rq350 Litronic hydraulic excavators for use at the Broken Cross opencast coal site in Lanarkshire, Scotland. Ten Terex TR100 rigid haulers were delivered to the site in late 2008. Hatfield Colliery at Stainforth, South Yorkshire, has been reopened by PowerFuel. The main equipment for two longwall faces was supplied by Joy Mining Machinery UK Ltd. 2 photos.

  3. Program of mining research, 1998--1999

    SciTech Connect (OSTI)

    1998-12-31

    The paper contains: Reflections on 1998; Project summaries; Noise; Injury prevention, ergonomics, and human factors; Surface, sand and gravel, and stone mines; Hazard detection and warning devices; Ground control -- metal/nonmetal mines; Ground control -- coal mines; Explosion and fire detection and suppression; Methane detection; Electrical hazards; Emerging technologies; Surveillance; Construction; Training and education; and Communication activity.

  4. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: May 11 (Geophysics) On Original Copies Dr. Terence K. Young Professor and Head Department of Geophysics Approved

  5. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: May 10 (Geophysics). Golden, Colorado Date May 15, 2006 Signed: on original copy Jeongmin Lee Signed: on original

  6. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics.mines.edu/cgem Defended: September fulfillment of the requirements for the degree of Master of Science (Geophysics). Golden, Colorado Date

  7. Short Papers___________________________________________________________________________________________________ Mining Multiple-Level Association

    E-Print Network [OSTI]

    Wu, Xindong

    ___________________________________________________________________________________________________ Mining Multiple-Level Association Rules in Large Databases Jiawei Han, Member, IEEE Computer Society for efficient mining of multiple-level association rules from large transaction databases based on the Apriori. Index TermsÐData mining, knowledge discovery in databases, association rules, multiple-level association

  8. Data Mining: Foundation, Techniques and Applications

    E-Print Network [OSTI]

    Tung, Anthony Kum Hoe

    Data Mining: Foundation, Techniques and Applications Anthony Tung() School of Computing National #12;11/30/2007 Data Mining: Foundation, Techniques and Applications 2 Main objectives of this course: · Data mining is a diverse field which draw its foundation from many research areas like databases

  9. WhartonDepartment of Statistics Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    WhartonDepartment of Statistics Data Mining Introduction Bob Stine Dept of Statistics What is data mining? · An insult? · Predictive modeling · Large, wide data sets, often unstructuredDepartment of Statistics Plan · Week 1 · Data mining with regression, logistic regression · Illustrate key ideas

  10. Proof Mining in Practice Philipp Gerhardy

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Proof Mining in Practice Philipp Gerhardy April 14, 2008 Abstract In this paper, we present some aspects of a recent application of proof mining by J.Avigad, H.Towsner and the author. In this case study for the ergodic averages. Proof mining generally falls into two main categories: Establishing general metatheorems

  11. ICPSR Summer Program, 2014 Data Mining

    E-Print Network [OSTI]

    Stine, Robert A.

    ICPSR Summer Program, 2014 Data Mining Tools for Exploring Big Data Robert Stine Department of Statistics Wharton School, University of Pennsylvania www-stat.wharton.upenn.edu/~stine Modern data mining a contribution. Rather than build a model that relates one or two experimental results to a response, data mining

  12. MINING TEMPORAL SEQUENCES TO DISCOVER INTERESTING PATTERNS

    E-Print Network [OSTI]

    Holder, Lawrence B.

    MINING TEMPORAL SEQUENCES TO DISCOVER INTERESTING PATTERNS Edwin O. Heierman, III, G. Michael, Texas 76019-0015 {heierman, youngbld, cook@cse.uta.edu ABSTRACT When mining temporal sequences sequences. In this paper, we present a novel data mining technique based on the Minimum Description Length

  13. DATA MINING IN TELECOMMUNICATIONS Gary M. Weiss

    E-Print Network [OSTI]

    Weiss, Gary

    DATA MINING IN TELECOMMUNICATIONS Gary M. Weiss Department of Computer and Information Science data, which describes the telecommunication customers. This chapter describes how data mining can be used to uncover useful information buried within these data sets. Several data mining applications

  14. Statistical data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Statistical data mining Finn °Arup Nielsen Informatics and Mathematical Modelling Technical University of Denmark February 3, 2004 #12;Introduction · "Statistical data mining". · The goal is "knowledge databases (PubMed, MeSH, fMRIDC, SenseLab) Finn °Arup Nielsen 2 February 3, 2004 #12;Mining for novelty

  15. Du Data Mining l'Apprentissage Statistique

    E-Print Network [OSTI]

    Besse, Philippe

    Du Data Mining à l'Apprentissage Statistique Philippe Besse Contenu : 1. Introduction 2. Risque et graphiques des scénarios Formation L'Oréal : 28 / 03 / 2014 #12;Introduction au data mining Apprentissage Mining Introduction Philippe Besse & B´eatrice Laurent INSA de Toulouse Institut de Math´ematiques INSA

  16. Dawdon Mine Water Heat Pump Trial

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    14-Dec-12 Dawdon Mine Water Heat Pump Trial #12;14 December 2012 2 Potential for Mine Water sourced heating Dawdon heat pump trial A demonstration project Contents #12;Friday, 14 December 2012 3 The UK salinity High Iron (removed by lime treatment) Offices , 8 rooms #12;Dawdon heat pump Warm mine water

  17. Frontiers of biomedical text mining: current progress

    E-Print Network [OSTI]

    Yu, Hong

    Frontiers of biomedical text mining: current progress Pierre Zweigenbaum, Dina Demner-Fushman, Hong of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or `Bio

  18. Institut Mines-Tlcom EPOC : Energy Proportional

    E-Print Network [OSTI]

    Lefèvre, Laurent

    ? ? Renewable energy #12;Institut Mines-Télécom29/11/13 Green@Days Lille 28-29 Novembre 2013 Problem 5 time Workload Renewable energy ? ? regular electric #12;Institut Mines-Télécom29/11/13 Green@Days Lille 28Institut Mines-Télécom EPOC : Energy Proportional and Opportunistic Computing system 1 Labex Comin

  19. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ www.cs.bu.edu/~evimaria/teaching.html · Schedule: Mon ­ Wed, 4-5:30 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office hours: Mon 2:30-4pm (tentative) · Introduction to data mining and prototype problems · Frequent pattern mining ­ Frequent

  20. Alexandria Digital Library Project Spatial Search, Ranking, and

    E-Print Network [OSTI]

    Janée, Greg

    #12;Alexandria Digital Library Project 11 Proposed solution Geodetic box Defined by N/S/E/W edgesAlexandria Digital Library Project Spatial Search, Ranking, and Interoperability Greg Janée and James Frew University of California, Santa Barbara #12;Alexandria Digital Library Project 2 Background

  1. Rank Aggregation via Nuclear Norm Minimization David F. Gleich

    E-Print Network [OSTI]

    Lim, Lek-Heng

    ] for Supported by the Natural Sciences and Engineering Research Council of Canada and the Dept. of Energy's John@uchicago.edu ABSTRACT The process of rank aggregation is intimately intertwined with the structure of skew. Categories and Subject Descriptors H.3.5 [Information Storage and Retrieval]: On-line in- formation Services

  2. Scalable K-Means by Ranked Retrieval Andrei Broder

    E-Print Network [OSTI]

    Cortes, Corinna

    Scalable K-Means by Ranked Retrieval Andrei Broder Google 1600 Amphitheater Parkway Mountain View, CA 94043 broder @google.com Lluis Garcia-Pueyo Google 1600 Amphitheater Parkway Mountain View, CA 94043 lgpueyo@google.com Vanja Josifovski Google 1600 Amphitheater Parkway Mountain View, CA 94043

  3. Low-Rank Regularization for Learning Gene Expression Programs

    E-Print Network [OSTI]

    Ye, Guibo; Tang, Mengfan; Cai, Jian-Feng; Nie, Qing; Xie, Xiaohui; Muldoon, Mark R

    2013-01-01

    67–103. 11. Christley S, Nie Q, Xie X (2009) Incorporating1 , Jian-Feng Cai 3 , Qing Nie 2,4 , Xiaohui Xie 1,4 * 1Ye G, Tang M, Cai J-F, Nie Q, Xie X (2013) Low-Rank

  4. Geotechnical & Mining Engineering

    E-Print Network [OSTI]

    Chapman, Clark R.

    : Instability prediction and monitoring under earthquake loads Underground pillar and entry stress optimization; and surface slope) using continuum, discontinuum, and particle flow methods Earthquake, and shotcrete Rock- and soil-structure interaction Earthquake ground response analysis Failure zone

  5. Modeled atmospheric radon concentrations from uranium mines

    SciTech Connect (OSTI)

    Droppo, J.G.

    1985-04-01

    Uranium mining and milling operations result in the release of radon from numerous sources of various types and strengths. The US Environmental Protection Agency (EPA) under the Clean Air Act, is assessing the health impact of air emissions of radon from underground uranium mines. In this case, the radon emissions may impact workers and residents in the mine vicinity. To aid in this assessment, the EPA needs to know how mine releases can affect the radon concentrations at populated locations. To obtain this type of information, Pacific Northwest Laboratory used the radon emissions, release characteristics and local meterological conditions for a number of mines to model incremental radon concentrations. Long-term, average, incremental radon concentrations were computed based on the best available information on release rates, plume rise parameters, number and locations of vents, and local dispersion climatology. Calculations are made for a model mine, individual mines, and multiple mines. Our approach was to start with a general case and then consider specific cases for comparison. A model underground uranium mine was used to provide definition of the order of magnitude of typical impacts. Then computations were made for specific mines using the best mine-specific information available for each mine. These case study results are expressed as predicted incremental radon concentration contours plotted on maps with local population data from a previous study. Finally, the effect of possible overlap of radon releases from nearby mines was studied by calculating cumulative radon concentrations for multiple mines in a region with many mines. The dispersion model, modeling assumptions, data sources, computational procedures, and results are documented in this report. 7 refs., 27 figs., 18 tabs.

  6. SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement. Existing methods have two deficiencies for applying to the open col- lections like the deep web. First query in the deep web, the agreements between theses an- swer sets are likely to be helpful in assessing

  7. SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement Tempe AZ USA 85287 rajub@asu.edu, rao@asu.edu ABSTRACT One immediate challenge in searching the deep web-similarity-based relevance assess- ment. When applied to the deep web these methods have two deficiencies. First

  8. An SVD-free Approach to a Class of Structured Low Rank Matrix Optimization Problems with Application to System Identification

    E-Print Network [OSTI]

    on the nuclear norm. We represent the desired structure by a linear map, termed mutation, that we characterize, the algorithm is SVD-free, which leads to improved scalability. The idea relies on restating the nuclear norm be conveniently expressed by the rank of an appropriate matrix. In particular, nuclear norm optimization methods

  9. Robot to the Mine Rescue

    Broader source: Energy.gov [DOE]

    To increase the speed of rescue efforts, scientists and engineers at the Energy Department’s Sandia National Laboratories recently developed a new robot, called the Gemini-Scout Mine Rescue Robot, that quickly finds dangers and provides relief to trapped miners.

  10. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, John A. (San Antonio, TX)

    1983-01-01

    A mining assembly includes a primary rotary cutter mounted on one end of a support shaft and four secondary rotary cutters carried on the same support shaft and positioned behind the primary cutters for cutting corners in the hole cut by the latter.

  11. Corner-cutting mining assembly

    DOE Patents [OSTI]

    Bradley, J.A.

    1981-07-01

    This invention resulted from a contract with the United States Department of Energy and relates to a mining tool. More particularly, the invention relates to an assembly capable of drilling a hole having a square cross-sectional shape with radiused corners. In mining operations in which conventional auger-type drills are used to form a series of parallel, cylindrical holes in a coal seam, a large amount of coal remains in place in the seam because the shape of the holes leaves thick webs between the holes. A higher percentage of coal can be mined from a seam by a means capable of drilling holes having a substantially square cross section. It is an object of this invention to provide an improved mining apparatus by means of which the amount of coal recovered from a seam deposit can be increased. Another object of the invention is to provide a drilling assembly which cuts corners in a hole having a circular cross section. These objects and other advantages are attained by a preferred embodiment of the invention.

  12. Longwall mining of thin seams

    SciTech Connect (OSTI)

    Curth, E A

    1981-01-01

    Thin seam operations pose a challenge to the ingenuity of mining engineers to overcome the factor of human inconvenience in the restricted environment and associated high cost production. Surprisingly, low seam longwalls in the Federal Republic of Germany in an average thickness of 35 in. and dipping less than 18/sup 0/ come close to achieving the average production rate of all German longwall operations. They are all plow faces, and a consistent production of 3300 tons per day and a productivity of 40 tons per man shift are reported from one of the thin seam longwalls. These results were attained by reliable high-capacity equipment and roof support by shields that can be collapsed to as low as 22 inches. Maximum mining height for plow operated faces lies at 31.5 inches. Technology for mechanized mining of flat lying coalbeds less than 31.5 inches in thickness without rock cutting is not available, and firmness of coal, undulation of the strata, coalbed thickness variation, and the necessity of cutting rock, particularly through faults, set limits to plow application. The in-web shearer can be used in firm coal to a minimum mining height of 40 inches, and a daily production of 1650 to 2200 tons is reported from a longwall in the Saar district of Germany equipped with such a shearer and shields. Numerous in-web shearers are employed in the United Kingdom; reports as to their success are contradictory. Also, experience in the United States, though limited, has been negative. The steady increase in output from single drum shearer faces in Pennsylvania is a remarkable achievement, and occasional record breaking peaks in production indicate the potential of such mining. Technology development for the future is discussed.

  13. top-ranked. The College of Business Administration (CBA) at the

    E-Print Network [OSTI]

    Grissino-Mayer, Henri D.

    -ranked. The College of Business Administration (CBA) at the University of Tennessee, Knoxville, consists

  14. Rapid extinguishing of sponcom fires in underground mines

    SciTech Connect (OSTI)

    Kajdasz, Z.; Zieba, G.

    1999-07-01

    The main purpose presented in this paper is to present active and passive methods to fight a sponcom fire. The active method uses an inert gas generator called the GAG while the passive method is through the use of ventilation software. In most sponcom situations a combination of these two methods results in rapid extinguishing of the overheated areas. The presented software allows for accurate and real time analysis of the ventilation network. Application of the GAG has been proven on many occasions as an effective means of producing large volumes of inert mine atmospheres with which to fight fires.

  15. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, Jan P. (West Lafayette, IN); Ochoa, Ellen (Pleasanton, CA); Sweeney, Donald W. (Alamo, CA)

    1990-01-01

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed.

  16. Optical ranked-order filtering using threshold decomposition

    DOE Patents [OSTI]

    Allebach, J.P.; Ochoa, E.; Sweeney, D.W.

    1987-10-09

    A hybrid optical/electronic system performs median filtering and related ranked-order operations using threshold decomposition to encode the image. Threshold decomposition transforms the nonlinear neighborhood ranking operation into a linear space-invariant filtering step followed by a point-to-point threshold comparison step. Spatial multiplexing allows parallel processing of all the threshold components as well as recombination by a second linear, space-invariant filtering step. An incoherent optical correlation system performs the linear filtering, using a magneto-optic spatial light modulator as the input device and a computer-generated hologram in the filter plane. Thresholding is done electronically. By adjusting the value of the threshold, the same architecture is used to perform median, minimum, and maximum filtering of images. A totally optical system is also disclosed. 3 figs.

  17. Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations

    E-Print Network [OSTI]

    Do, Minh N.

    1 Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations Hien M. Nguyen, Member, IEEE- temporal imaging data as well. Index Terms--MR spectroscopy, MR spectroscopic imaging, denoising, low spectroscopic (MRS) signal in (k, t)-space can be expressed as s(k, t) = (r, f)e-i2k·r e-i2ft drdf + (k, t), (1

  18. EM's Huizenga Receives Presidential Rank Award | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementof EnergyQuality AssuranceTop1Seriesof

  19. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, C.L.; Timpe, R.C.; Potas, T.A.; DeWall, R.A.; Musich, M.A.

    1992-11-10

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-degradable, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  20. Low-rank coal oil agglomeration product and process

    DOE Patents [OSTI]

    Knudson, Curtis L. (Grand Forks, ND); Timpe, Ronald C. (Grand Forks, ND); Potas, Todd A. (Plymouth, MN); DeWall, Raymond A. (Grand Forks, ND); Musich, Mark A. (Grand Forks, ND)

    1992-01-01

    A selectively-sized, raw, low-rank coal is processed to produce a low ash and relative water-free agglomerate with an enhanced heating value and a hardness sufficient to produce a non-decrepitating, shippable fuel. The low-rank coal is treated, under high shear conditions, in the first stage to cause ash reduction and subsequent surface modification which is necessary to facilitate agglomerate formation. In the second stage the treated low-rank coal is contacted with bridging and binding oils under low shear conditions to produce agglomerates of selected size. The bridging and binding oils may be coal or petroleum derived. The process incorporates a thermal deoiling step whereby the bridging oil may be completely or partially recovered from the agglomerate; whereas, partial recovery of the bridging oil functions to leave as an agglomerate binder, the heavy constituents of the bridging oil. The recovered oil is suitable for recycling to the agglomeration step or can serve as a value-added product.

  1. CARBON SEQUESTRATION ON SURFACE MINE LANDS

    SciTech Connect (OSTI)

    Donald H. Graves; Christopher Barton; Richard Sweigard; Richard Warner

    2004-11-30

    A monitoring program to measure treatment effects on above ground, and below ground carbon and nitrogen pools for the planting areas is being conducted. The collection of soil and tissue samples from both the 2003 and 2004 plantings is complete and are currently being processed in the laboratory. Detailed studies have been initiated to address specific questions pertaining to carbon cycling. Examinations of decomposition and heterotropic respiration on carbon cycling in the reforestation plots were continued during this reporting period. A whole-tree harvesting method was employed to evaluate carbon accumulation as a function of time on the mined site. The trees were extracted from the sites and separated into the following components: foliage, stems, branches, and roots.

  2. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    an ability to learn independently Professional technical courses include surface and underground mining, mining equipment, coal and mineral preparation, plant and mine design, geology, and water control of the operation of a mining enterprise. Local coal fields, mines, and preparation plants provide extensive

  3. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    include surface and underground mining, rock mechanics and ground control, mine health and safety, mineral/coal · Vladislav Kecojevic - Ph.D. (University of Belgrade) Surface Mining, Aggregates Production, Mine MaterialsWest Virginia University 1 Department of Mining Engineering Degrees Offered · Masters of Science

  4. Mining withdrawals by water quality and State, 2005. EXPLANATION

    E-Print Network [OSTI]

    Mining withdrawals by water quality and State, 2005. 0 to 10 10 to 50 50 to 100 100 to 200 200 mining withdrawals Freshwater mining withdrawals Saline-water mining withdrawals Estimated Use of Water in the United States in 2005 - Mining USGS Water-Science School -- http://ga.water.usgs.gov/edu/wumi.html Source

  5. Legacy of historic mining and water quality in a heavily mined Scottish river catchment 

    E-Print Network [OSTI]

    Haunch, Simon

    2013-11-28

    Mine abandonment and the discharge of contaminated mine water is recognised globally as a major source of surface water and groundwater pollution. Contamination generally arises from the oxidation of sulphide minerals, ...

  6. ITP Mining: Mining Industry of the Future Mineral Processing Technology Roadmap

    Office of Energy Efficiency and Renewable Energy (EERE)

    In June 1998, the Chairman of the National Mining Association and the Secretary of energy entered into a Compact to pursue a collaborative technology research partnership, the Mining Industry of the Future.

  7. Injury experience in coal mining, 1990

    SciTech Connect (OSTI)

    1991-01-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1990. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  8. Injury experience in metallic mineral mining, 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral mining in the United States for 1992. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  9. Data Mining et Statistique Philippe Besse

    E-Print Network [OSTI]

    Besse, Philippe

    Data Mining et Statistique Philippe Besse , Caroline Le Gall , Nathalie Raimbault & Sophie Sarpy§ R´esum´e Cet article propose une introduction au Data Mining. Celle-ci prend la forme d'une r´eflexion sur les quelques ensei- gnements sur les pratiques du data mining : choix d'une m´ethode, comp´etences de l

  10. The Dona Maria Mining and Milling Company

    E-Print Network [OSTI]

    Blackmar, Frank H.

    1912-06-01

    KU ScholarWorks | The University of Kansas Pre-1923 Dissertations and Theses Collection The Dona Maria Mining and Milling Company 1912 by Frank Hollister Blackmar This work was digitized by the Scholarly Communications program staff in the KU... Libraries’ Center for Digital Scholarship. http://kuscholarworks.ku.edu A thesis submitted to the department of Mining Engineering of the University of Kansas in partial fulfillment of the requirements for the degree of Mining Engineer. rJj, •» Jf* T3E...

  11. Mining Industry Profile | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    utilities, the primary metals industry, non-metallic minerals industry (glass, cement, lime), and the construction industry. Employment Mining operations are often the leading...

  12. Enterprise Assessments Review of Mine Safety, Stabilization,...

    Energy Savers [EERE]

    with the limited available airflows in the mine, and the status and condition of emergency escape and evacuation systems. Nuclear Waste Partnership, LLC (NWP), the...

  13. Intelligent Simulation Tools for Mining Large Scienti c Data Sets 1 Intelligent Simulation Tools for Mining

    E-Print Network [OSTI]

    Bailey-Kellogg, Chris

    Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets 1 Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets Feng ZHAO Xerox Palo Alto Research Center 3333 Coyote Hill Road, Palo. Keywords Intelligent simulation, Scienti#12;c data mining, Qualitative reasoning, Reasoning about physical

  14. CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING 1 Feature Mining for Localised Crowd

    E-Print Network [OSTI]

    Gong, Shaogang

    CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING 1 Feature Mining for Localised Crowd Counting Ke Chen1 cory@eecs.qmul.ac.uk Chen Change Loy2 ccloy@visionsemantics.com Shaogang Gong1 in print or electronic forms. #12;2 CHEN, LOY, GONG, XIANG: FEATURE MINING FOR LOCALISED CROWD COUNTING

  15. Asymptotics of spherical superfunctions on rank one Riemannian symmetric superspaces

    E-Print Network [OSTI]

    Alexander Alldridge; Wolfgang Palzer

    2014-11-21

    We compute the Harish-Chandra $c$-function for a generic class of rank-one purely non-compact Riemannian symmetric superspaces $X=G/K$ in terms of Euler $\\Gamma$ functions, proving that it is meromorphic. Compared to the even case, the poles of the $c$-function are shifted into the right half-space. We derive the full asymptotic Harish-Chandra series expansion of the spherical superfunctions on $X$. In the case where the multiplicity of the simple root is an even negative number, they have a closed expression as Jacobi polynomials for an unusual choice of parameters.

  16. Robust Learning from Bites for Data Mining Andreas Christmann

    E-Print Network [OSTI]

    Robust Learning from Bites for Data Mining Andreas Christmann Vrije Universiteit Brussel minimization, data mining, distributed computing, influence function, logistic regression, robustness management, respectively. Other examples are large observational data sets in data mining projects and data

  17. Astroinformatics, data mining and the future of astronomical research

    E-Print Network [OSTI]

    Longo, Giuseppe

    Astroinformatics, data mining and the future of astronomical research Massimo Bresciaa , Giuseppe the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of ICT technologies. Keywords: astroinformatics, Data Mining, virtual organizations 1. Introduction

  18. Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches

    E-Print Network [OSTI]

    Schwartz, Paul M.; Lee, Ronald D.; Rubinstein, Ira

    2008-01-01

    creep,” see Mary DeRosa, Data Mining and Data Analysis for29 DeRosa, Data Mining and Data Analysis at 19 (cited in31 See DeRosa, Data Mining and Data Analysis at 17–18 (cited

  19. Text mining for user perspectives on the physical workplace

    E-Print Network [OSTI]

    Goins, John; Moezzi, Mithra

    2011-01-01

    Goins, John (2011) 'Text mining for occupant perspectives onGoins, John (2011) 'Text mining for occupant perspectives onGoins, John (2011) 'Text mining for occupant perspectives on

  20. Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches

    E-Print Network [OSTI]

    Schwartz, Paul M.; Lee, Ronald D.; Rubinstein, Ira

    2008-01-01

    of consensus safeguards around government data mining tocommercial data mining, the extent and speed of ad- funded2/19/2008 3:00:00 PM Data Mining and Internet Profiling:

  1. Integrated network construction using event based text mining

    E-Print Network [OSTI]

    Gent, Universiteit

    Integrated network construction using event based text mining Yvan Saeys, Sofie Van Landeghem numerous interactions between biological entities. Text mining techniques have been increasingly useful mining in the systems biology field has been restricted mostly to the discovery of protein

  2. Mercury-Contaminated Hydraulic Mining Debris in San Francisco Bay

    E-Print Network [OSTI]

    Bouse, Robin M; Fuller, Christopher C; Luoma, Sam; Hornberger, Michelle I; Jaffe, Bruce E; Smith, Richard E

    2010-01-01

    may 2010 Mercury-Contaminated Hydraulic Mining Debris in SanCA 94025 Abstract The hydraulic gold-mining process usedsediment created by hydraulic gold mining in the Sierra

  3. The Alta Mine: A Multidisciplinary Analysis of an Acid

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    i #12;The Alta Mine: A Multidisciplinary Analysis of an Acid Mine Drainage Environment LRES 442, and environmental microbiology; all disciplines highly appropriate to the study of acid mine/rock drainage

  4. MODELING OF STATIC MINING SUBSIDENCE IN A NONLINEAR MEDIUM

    E-Print Network [OSTI]

    Ratigan, J.L.

    2013-01-01

    Finite Element Program for Static Evaluation of MiningAugust 3-6, 1981 MODELING OF STATIC MINING SUBSIDENCE IN ALBL-11896 MODELING OF STATIC MINING SUBSIDENCE IN A

  5. Data Mining and Internet Profiling: Emerging Regulatory and Technological Approaches

    E-Print Network [OSTI]

    Schwartz, Paul M.; Lee, Ronald D.; Rubinstein, Ira

    2008-01-01

    17 DHS Privacy Office, Data Mining Report: DHS Privacyfor data mining programs, the DHS Privacy Office requestedOffice has argued, strong data quality standards should be adopted for all information used in data mining.

  6. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2003-04-15

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. More field tests have been performed. A trendline analysis method has been developed. This method would improve the accuracy in detecting the locations of fractures and in determining the rock strength.

  7. Hydrologic and Aquatic Species Implications of the Proposed Pebble Mine, Bristol Bay, Alaska

    E-Print Network [OSTI]

    Cundy, Fiona

    2012-01-01

    causing  acid  mine  drainage   (Moran  2007).     Problem  potential  for  acid  mine  drainage,  due  to  the   high  

  8. DAME: a Web Oriented Infrastructure for Scientific Data Mining & Exploration

    E-Print Network [OSTI]

    Longo, Giuseppe

    DAME: a Web Oriented Infrastructure for Scientific Data Mining & Exploration Massimo Bresciaa (DAta Mining & Exploration) is an innovative, general purpose, Web-based, VObs compliant, distributed

  9. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    3.2 - Surface Drilling ------------------------------ COSTNumber In-Mine Drilling Program Cost Estimate for Case 1 -Development In-Mine Drilling The cost and time required for

  10. Program Distinctions U.S. News & World Report Ranking: #11 MBA Supply Chain Program, nationwide, (2015)

    E-Print Network [OSTI]

    Neimark, Alexander V.

    2015-01-01

    ) American Pharmaceuticals-Global Transportation Organization (GTO) (D. Klock) Managing the Outsourced Report Ranking (SCM/Operations Management Specialty): #20 (2013) Gartner SCM Program Ranking: #9 Management (ISM) scholarships (2011-2015) Council of Supply Chain Management Professionals (CSCMP

  11. Data Mining in Earth System Science (DMESS 2011)

    SciTech Connect (OSTI)

    Hoffman, Forrest M [ORNL] [ORNL; Larson, Jay [Argonne National Laboratory (ANL)] [Argonne National Laboratory (ANL); Mills, Richard T [ORNL] [ORNL; Brooks, Bjorn [ORNL] [ORNL; Ganguly, Auroop R [ORNL] [ORNL; Hargrove, William Walter [ORNL] [ORNL; Huang, Jian [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Kumar, Jitendra [ORNL] [ORNL; Vatsavai, Raju [ORNL] [ORNL

    2011-01-01

    From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques - such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks - are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop computers. New scalable analysis and visualization tools, running on parallel cluster computers and supercomputers, are required to analyze data of this magnitude. This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computer science methods that support analysis and discovery in the Earth sciences.

  12. Solution mining code for studying axisymmetric salt cavern formation

    SciTech Connect (OSTI)

    Russo, A.J.

    1981-09-01

    The solution mining of oil storage caverns in salt domes for the Strategic Petroleum Reserve has prompted the development of a code to predict cavern shape and volume as a function of prescribed flow parameters. Of particular interest is the ability to predict shape changes while leaching is proceeding at the same time the cavern is being filled with oil (leach-fill) and when oil is being withdrawn by fresh water displacement. The theory and overall numerical procedures used in the code development are described. Implicit, finite difference methods are used to solve an axisymmetric mass conservation problem. Calculated results are given which exercise each of the code options and where possible these results are compared with other calculations or available data from solution mining in progress at Bryan Mound, Texas.

  13. Department of Geophysics Colorado School of Mines

    E-Print Network [OSTI]

    Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics;#12;Department of Geophysics Colorado School of Mines Golden, CO 80401 http://www.geophysics of the requirements for the degree of Master of Science (Geophysics). Golden, Colorado Date: April 14, 2005 Signed

  14. Toward mining of spatiotemporal maximal frequent patterns

    E-Print Network [OSTI]

    Malerba, Donato

    show that propositional spatiotemporal logic PSTL is a powerful tool for mining in various and temporal features and show that the spa- tiotemporal logic ST0 is powerful enough for mining interesting in future), windstorms data where K is a unique identifier for a strong wind, and the frequent pattern year

  15. COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM

    E-Print Network [OSTI]

    change, the Colorado School of Mine's (CSM) Performance Management Steering Committee was established Program to be effective for the performance management cycle beginning April 1, 2007. Further changes1 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM Revised October 1, 2008 I. HISTORY Since

  16. COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM

    E-Print Network [OSTI]

    1 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT PROGRAM Revised October 1, 2008 I. HISTORY Since change, the Colorado School of Mine's (CSM) Performance Management Steering Committee was established the administration in the development and implementation of the School's Performance Pay Program. The original

  17. Visual Web Mining Amir H. Youssefi

    E-Print Network [OSTI]

    Bystroff, Chris

    Visual Web Mining Amir H. Youssefi Rensselaer Polytechnic Institute 110 Eight St. Troy, NY 12180 Rensselaer Polytechnic Institute 110 Eight St. Troy, NY 12180 zaki@cs.rpi.edu ABSTRACT Analysis of web site of the web, and secondly, the structural complexity of web sites. In this paper we apply Data Mining

  18. WEB MINING: A ROADMAP Magdalini Eirinaki

    E-Print Network [OSTI]

    Eirinaki, Magdalini

    1 WEB MINING: A ROADMAP Magdalini Eirinaki Dept. of Informatics Athens University of Economics and Business CHAPTER 1 Introduction ­ The three axes of Web Mining 1.1 WWW Impact The World Wide Web, has grown of the Web content, the creation of some meta- knowledge out of the information which is available on the Web

  19. Data Mining and Knowledge Discovery: Practice Notes

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery: Practice Notes dr. Petra Kralj Novak Petra.Kralj.Novak@ijs.si and exam · 2013/12/16: Written exam, seminar proposal discussion · 2014/1/8: Data mining seminar gain becomes the root 7. Divide the set S into subsets Si according to the values of A 8. Repeat steps

  20. Jon Espen Ingvaldsen Semantic Process Mining of

    E-Print Network [OSTI]

    Planning (ERP) systems are commonly stated in research as promising areas for process mining. ERP systems have conducted studies on applying process mining techniques on real life ERP transaction data and we and interpret ERP transaction data? RQ2. Can reliable business process traces be extracted from large

  1. Mining Binary Expressions: Applications and Toon Calders

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Binary Expressions: Applications and Algorithms Toon Calders Jan Paredaens Universiteit Antwerpen, Departement Wiskunde-Informatica, Universiteitsplein 1, B-2610 Wilrijk, Belgium. {calders,pareda}@uia.ua.ac.be Technical report TR0008, June 2000 Abstract In data mining, searching for frequent patterns is a common

  2. Mining Train Delays Boris Cule1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Train Delays Boris Cule1 , Bart Goethals1 , Sven Tassenoy2 , and Sabine Verboven2,1 1, Belgium 2 INFRABEL - Network, Department of Innovation, Barastraat 110, 1070 Brussels, Belgium Keywords Pattern Mining, Data Analysis, Train Delays Abstract The Belgian railway network has a high traffic

  3. Technical Report Mining Interesting Sets and Rules

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Technical Report 09.02 Mining Interesting Sets and Rules in Relational Databases Bart Goethals, Wim Middelheimlaan 1 B-2020 Antwerp ­ Belgium #12;1 Abstract In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multi-relational case. We define relational

  4. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining #12;Course logistics · Course webpage: ­ http://www.cs.bu.edu/~evimaria/cs565-11.html · Schedule: Mon ­ Wed, 2:30-4:00 · Instructor: Evimaria Terzi, evimaria@cs.bu.edu · Office@bu.edu #12;Topics to be covered (tentative) · Introduction to data mining and prototype problems · Frequent

  5. Low Rank Solutions of Time Dependent Stochastic PDEs Alessio Spantini1

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Low Rank Solutions of Time Dependent Stochastic PDEs Alessio Spantini1 Advisors: Lionel Mathelin2/29/2013 Spantini (MIT) Low Rank Solutions of SPDE ACDL Quals 1 / 20 #12;Outline 1 Motivation 2 General Formulation and Methodology 3 Numerical Example 4 Conclusions Spantini (MIT) Low Rank Solutions of SPDE ACDL Quals 2 / 20 #12

  6. Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search

    E-Print Network [OSTI]

    Gomes, Carla P.

    Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search Yunsong Guo propose an approach for automatically rank- ing structured documents applied to patent prior art search. Our model, SVM Patent Ranking (SVMP R) incorporates margin constraints that di- rectly capture

  7. Low-rank coal research: Volume 3, Combustion research: Final report. [Great Plains

    SciTech Connect (OSTI)

    Mann, M. D.; Hajicek, D. R.; Zobeck, B. J.; Kalmanovitch, D. P.; Potas, T. A.; Maas, D. J.; Malterer, T. J.; DeWall, R. A.; Miller, B. G.; Johnson, M. D.

    1987-04-01

    Volume III, Combustion Research, contains articles on fluidized bed combustion, advanced processes for low-rank coal slurry production, low-rank coal slurry combustion, heat engine utilization of low-rank coals, and Great Plains Gasification Plant. These articles have been entered individually into EDB and ERA. (LTN)

  8. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2003-01-15

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. Additional field tests have been performed. It is found that the drilling power can be used as a supplementary method for detecting voids/fractures and rock interfaces.

  9. Advanced Acid Gas Separation Technology for the Utilization of Low Rank Coals

    SciTech Connect (OSTI)

    Kloosterman, Jeff

    2012-12-31

    Air Products has developed a potentially ground-breaking technology – Sour Pressure Swing Adsorption (PSA) – to replace the solvent-based acid gas removal (AGR) systems currently employed to separate sulfur containing species, along with CO{sub 2} and other impurities, from gasifier syngas streams. The Sour PSA technology is based on adsorption processes that utilize pressure swing or temperature swing regeneration methods. Sour PSA technology has already been shown with higher rank coals to provide a significant reduction in the cost of CO{sub 2} capture for power generation, which should translate to a reduction in cost of electricity (COE), compared to baseline CO{sub 2} capture plant design. The objective of this project is to test the performance and capability of the adsorbents in handling tar and other impurities using a gaseous mixture generated from the gasification of lower rank, lignite coal. The results of this testing are used to generate a high-level pilot process design, and to prepare a techno-economic assessment evaluating the applicability of the technology to plants utilizing these coals.

  10. Ranking of sabotage/tampering avoidance technology alternatives

    SciTech Connect (OSTI)

    Andrews, W.B.; Tabatabai, A.S.; Powers, T.B.; Daling, P.M.; Fecht, B.A.; Gore, B.F.; Overcast, T.D.; Rankin, W.R.; Schreiber, R.E.; Tawil, J.J.

    1986-01-01

    Pacific Northwest Laboratory conducted a study to evaluate alternatives to the design and operation of nuclear power plants, emphasizing a reduction of their vulnerability to sabotage. Estimates of core melt accident frequency during normal operations and from sabotage/tampering events were used to rank the alternatives. Core melt frequency for normal operations was estimated using sensitivity analysis of results of probabilistic risk assessments. Core melt frequency for sabotage/tampering was estimated by developing a model based on probabilistic risk analyses, historic data, engineering judgment, and safeguards analyses of plant locations where core melt events could be initiated. Results indicate the most effective alternatives focus on large areas of the plant, increase safety system redundancy, and reduce reliance on single locations for mitigation of transients. Less effective options focus on specific areas of the plant, reduce reliance on some plant areas for safe shutdown, and focus on less vulnerable targets.

  11. Biomedical signal processing --application of optimization methods for machine learning

    E-Print Network [OSTI]

    Absil, Pierre-Antoine

    Biomedical signal processing -- application of optimization methods for machine learning problems Biomedical signal processing -- application of optimization methods for machi #12;Data mining cocktail-party problem F. Theis Biomedical signal processing -- application of optimization methods for machi #12;Data

  12. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essentialRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval Takahiko FuruyaRyutarou Ohbuchi University of Yamanashi #12;IntroductionIntroduction 3D models

  13. Ranking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model Retrieval

    E-Print Network [OSTI]

    Ohbuchi, Ryutarou

    printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrieval is essential scanners, 3D printers,... ­ User generated. T i bl 3D h· Trimble 3D warehouse... 3D model retrievalRanking on Cross Domain Manifold forRanking on Cross-Domain Manifold for Sketch-based 3D model

  14. Low rank positive partial transpose states and their relation to product vectors

    E-Print Network [OSTI]

    Leif Ove Hansen; Andreas Hauge; Jan Myrheim; Per Øyvind Sollid

    2011-04-08

    It is known that entangled mixed states that are positive under partial transposition (PPT states) must have rank at least four. In a previous paper we presented a classification of rank four entangled PPT states which we believe to be complete. In the present paper we continue our investigations of the low rank entangled PPT states. We use perturbation theory in order to construct rank five entangled PPT states close to the known rank four states, and in order to compute dimensions and study the geometry of surfaces of low rank PPT states. We exploit the close connection between low rank PPT states and product vectors. In particular, we show how to reconstruct a PPT state from a sufficient number of product vectors in its kernel. It may seem surprising that the number of product vectors needed may be smaller than the dimension of the kernel.

  15. Approved Module Information for BNM842, 2014/5 Module Title/Name: Data Mining and Business Intelligence Module Code: BNM842

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Approved Module Information for BNM842, 2014/5 Module Title/Name: Data Mining and Business a.emrouznejad@aston.ac.uk Telephone Number 0121 204 3092 Office rM nO 816 Level Description: Masters the leading data mining methods and their applications to real-world problems; - To provide both the practical

  16. Data Privacy and Data Security Introduction to Data Mining

    E-Print Network [OSTI]

    Zhang, Jun

    Data Privacy and Data Security Chapter 1 Introduction to Data Mining Jun Zhang January 13, 2011 © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 #12;Why Mine Data? Commercial Viewpoint ) © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 2 Customer Relationship Management) #12;Why

  17. PERFORMANCE EVALUATION AND CHARACTERIZATION OF SCALABLE DATA MINING ALGORITHMS

    E-Print Network [OSTI]

    PERFORMANCE EVALUATION AND CHARACTERIZATION OF SCALABLE DATA MINING ALGORITHMS Ying Liu, choudhar}@ece.northwestern.edu ABSTRACT Data mining has become one of the most essential tools in diverse perspectives for a set of representative data mining programs. We first design MineBench, a benchmarking suite

  18. Off Earth Mining Forum 19-21 February 2013

    E-Print Network [OSTI]

    Sekercioglu, Y. Ahmet

    1 Off Earth Mining Forum 19-21 February 2013 www.acser.unsw.edu.au/oemf Never Stand Still Faculty of Engineering Australian Centre for Space Engineering Research (ACSER) #12;Off Earth Mining Forum, UNSW, Sydney Australia's place in space. Off Earth Mining Forum Sponsors Off Earth Mining Forum The prospect of people

  19. DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS

    E-Print Network [OSTI]

    Smyth, Padhraic

    Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at and highlights the fundamental di erences between statistical and computational views of data mining. In do- ing

  20. Data mining for Action Recognition Andrew Gilbert Richard Bowden

    E-Print Network [OSTI]

    Bowden, Richard

    Data mining for Action Recognition Andrew Gilbert Richard Bowden Centre for Vision Speech of the features used. This paper improves the performance of action recognition through two data mining techniques, APriori association rule mining and Contrast Set Mining. These tech- niques are ideally suited to action

  1. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI ­ Data Mining #12

  2. Wil M. P. van der Aalst Process Mining

    E-Print Network [OSTI]

    van der Aalst, Wil

    1 Wil M. P. van der Aalst Process Mining Discovery, Conformance and Enhancement of Business Processes Process Mining Wil M. P. van der Aalst Computer Science ProcessMining Discovery, Conformance organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline

  3. DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS

    E-Print Network [OSTI]

    Smyth, Padhraic

    Chapter 1 DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS \\Lambda Padhraic Smyth a better understanding of the role of statistical thinking in modern data mining. Data mining has at and highlights the fundamental differences between statistical and computational views of data mining. In do­ ing

  4. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to Data Mining #12;Data Mining Objectives Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. Student should gain the knowledge on how

  5. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    to advanced mining engineering problems. This program provides students the technical knowledge and researchWest Virginia University 1 Department of Mining Engineering Degrees Offered · Master's of science in mining engineering · Master's of science in engineering with a major in mining engineering · Doctor

  6. Twitter Food Photo Mining and Analysis for One

    E-Print Network [OSTI]

    Yanai, Keiji

    Twitter Food Photo Mining and Analysis for One Hundred Kinds of Foods Pacific-Rim Conf-Communications, Tokyo, Japan #12;Twitter Realtime Food Photo Mining System (mm.cs.uec.ac.jp/tw/) ·What kinds of foods analysis #12;Twitter Food Photo Mining ·Twitter Photos represent the current state of the world ! ·Mining

  7. SIMULATING TRANSPORT AND GEOCHEMICAL EVOLUTION OF ACID MINE DRAINAGE THROUGH

    E-Print Network [OSTI]

    Aubertin, Michel

    SIMULATING TRANSPORT AND GEOCHEMICAL EVOLUTION OF ACID MINE DRAINAGE THROUGH DISCRETELY FRACTURED Waste Management ABSTRACT A modelling study is performed to assess the evolution of acid mine drainage-geochemical and geo-mechanical models for predicting environmental impacts of acid mine drainage in complex mining

  8. Non-Derivable Itemset Mining Toon Calders and Bart Goethals

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    .calders,bart.goethals}@ua.ac.be University of Antwerp, Belgium Abstract All frequent itemset mining algorithms rely heavily on the monotonicNon-Derivable Itemset Mining Toon Calders and Bart Goethals {toon-derivable itemsets a useful and tractable alternative to mining all frequent itemsets. Keywords: Data mining

  9. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 21, NO. 2, FEBRUARY 2013 291 Classification and Ranking Approaches to

    E-Print Network [OSTI]

    Alpaydýn, Ethem

    this both as a classification and a ranking problem and employ the perceptron, the margin infused relaxed, language modeling, ranking per- ceptron, ranking support vector machine (SVM), margin infused relaxed

  10. Rehabilitation of the international coal mines

    E-Print Network [OSTI]

    Cote?, Homer.

    by the motor, while the other carries the cutting tool and is acted upon by the compressed air. The blow is powerful, effective, and capable of dislodging more coal with less power consumption than any other machine of the puncher type, and in addition... or alter­ nating current power. Each machine is f urnished with a cable, reel, tools, picks, running board, truck and sho e - The conditions of mining encountered in the mines of the International Coal Mines Company require the use of two types...

  11. Ranking of Chemicals Measured in Emissions from R&D Facilities

    SciTech Connect (OSTI)

    Ballinger, Marcel Y.; Duchsherer, Cheryl J.

    2011-04-01

    The Pacific Northwest National Laboratory (PNNL) operates a number of multidisciplinary laboratory research facilities for the U. S. Department of Energy and has sampled air chemical emissions from some of these facilities since 1998. The primary purpose of this sampling is to obtain data to compare estimated release fractions to those used for emissions estimates, verifying that methods used to determine compliance with air regulations and permits conservatively predict actual emissions. Sampling also identifies and quantifies emissions of air toxics to compare with compliance limits established by regulatory agencies. Hundreds of samples have been taken from four different buildings (325, 329, 331, and EMSL) over a 10-year time period. Results from initial sampling campaigns were evaluated and reported by Woodruff, Benar, and McCarthy (2000) who summarized the compliance approach used by PNNL and described sampling and analytical measurements for the first sampling campaigns. Conclusions reported in this paper were that none of the measurements of the target compounds exceeded an acceptable source impact level (ASIL) (Washington Administrative Code, Chapter 173-460) even using significant overestimation factors, and that an average release fraction calculated from the data provided reasonable validation of the factor used in compliance assessments. Subsequent analysis compared chemical signatures from the buildings (Ballinger, Duchsherer, and Metoyer 2008). Results from this analysis showed that stack emissions from three of the four buildings had relatively similar chemical signatures but the fourth building differed from the other three significantly using the developed metric. This paper presents additional analyses of the measured air chemical emissions to 1) rank the chemical compounds that present the greatest risk to a potential downstream receptor and 2) determine whether the sampling parameters and detection limits provided sufficient resolution to verify compliance at potential receptor locations. The ranking method includes chemical-specific parameters such as measured concentrations, detection limits, and regulatory limits plus building-specific parameters such as location, stack flow-rate, and distance to receptors.

  12. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE ROOF BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2002-10-15

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. Additional field tests have been performed in this quarter. The development of the data interpretation methodology and other related tasks are still continuing.

  13. Fuelcell-Hybrid Mine loader (LHD)

    SciTech Connect (OSTI)

    James L Dippo; Tim Erikson; Kris Hess

    2009-07-10

    The fuel cell hybrid mine loader project, sponsored by a government-industry consortium, was implemented to determine the viability of proton exchange membrane (PEM) fuel cells in underground mining applications. The Department of Energy (DOE) sponsored this project with cost-share support from industry. The project had three main goals: (1) to develop a mine loader powered by a fuel cell, (2) to develop associated metal-hydride storage and refueling systems, and (3) to demonstrate the fuel cell hybrid loader in an underground mine in Nevada. The investigation of a zero-emissions fuel cell power plant, the safe storage of hydrogen, worker health advantages (over the negative health effects associated with exposure to diesel emissions), and lower operating costs are all key objectives for this project.

  14. Mining from large image sets (Keynote address)

    E-Print Network [OSTI]

    Grabner, Helmut

    ­ Switzerland Michael D. Breitenstein Computer Vision Laboratory ETH Zurich ­ Switzerland Stephan Gammeter Computer Vision Laboratory ETH Zurich ­ Switzerland Helmut Grabner Computer Vision Laboratory ETH Zurich ­ Switzerland Till Quack Computer Vision Laboratory ETH Zurich ­ Switzerland ABSTRACT So far, most image mining

  15. One Day Seminar Data Mining in Practice

    E-Print Network [OSTI]

    Morik, Katharina

    in 1999 the application rate will raise to n 4 projects in 2009. ... is most often oriented towards ­ Spatial Data Mining ­ Churn of customers in telecommunication ­ ??? ­ Prediction of customers' demands

  16. Clustering Techniques for Data Mining and Protein Design Around The Concept of Locality

    E-Print Network [OSTI]

    Hakkoymaz, Huseyin

    2010-01-01

    Knowledge discovery and data mining, San Jose, California,on Knowledge discovery and data mining, Edmonton, Alberta,Knowledge discovery and data mining, Seattle, WA, USA: ACM,

  17. Mining User Groups in the Social News Website: Community Detection in Bipartite Networks.

    E-Print Network [OSTI]

    YANG, HO-SHUN

    2012-01-01

    Mining user behaviors with indirectmore informative for the mining purpose. On the other hand,of California Los Angeles Mining User Groups in the Social

  18. Image/Time Series Mining Algorithms: Applications to Developmental Biology, Document Processing and Data Streams

    E-Print Network [OSTI]

    Tataw, Oben Moses

    2013-01-01

    International Conference on Data Mining (2001). Khairy, K. ,and Eamonn Keogh (2011). Mining Historical Documents forWang, E. J. Keogh. Querying and mining of time series data.

  19. Community Genomic, Proteomic, and Transcriptomic Analyses of Acid Mine Drainage Biofilm Communities

    E-Print Network [OSTI]

    Goltsman, Daniela

    2013-01-01

    T, Banfield J. 2004. Acid mine drainage biogeochemistry atof eukaryotes in acid mine drainage biofilm communities.III) bacteria in acid mine drainage biofilms. Appl Environ

  20. Kinetics of Pyrrhotite Oxidation in Seawater: Implications for Mining Seafloor Hotsprings

    E-Print Network [OSTI]

    Romano, Gina Yolanda

    2012-01-01

    K.B. , 2005, Acid mine drainage remediation options: aDeul, M. , 1982, Acid Mine Drainage: Control and Abatementcould result in acid mine drainage (Belzile, 2004; Janzen,

  1. Knowledge Discovery and Data Mining (KDDM) survey report.

    SciTech Connect (OSTI)

    Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T.; Treadwell, Jim N.; Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.

    2005-02-01

    The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.

  2. Low-rank coal research. Quarterly report, January--March 1990

    SciTech Connect (OSTI)

    Not Available

    1990-08-01

    This document contains several quarterly progress reports for low-rank coal research that was performed from January-March 1990. Reports in Control Technology and Coal Preparation Research are in Flue Gas Cleanup, Waste Management, and Regional Energy Policy Program for the Northern Great Plains. Reports in Advanced Research and Technology Development are presented in Turbine Combustion Phenomena, Combustion Inorganic Transformation (two sections), Liquefaction Reactivity of Low-Rank Coals, Gasification Ash and Slag Characterization, and Coal Science. Reports in Combustion Research cover Fluidized-Bed Combustion, Beneficiation of Low-Rank Coals, Combustion Characterization of Low-Rank Coal Fuels, Diesel Utilization of Low-Rank Coals, and Produce and Characterize HWD (hot-water drying) Fuels for Heat Engine Applications. Liquefaction Research is reported in Low-Rank Coal Direct Liquefaction. Gasification Research progress is discussed for Production of Hydrogen and By-Products from Coal and for Chemistry of Sulfur Removal in Mild Gas.

  3. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr.; Jerry L. Jensen

    2005-05-01

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main objective for this reporting period was to perform pressure transient testing to determine permeability of deep Wilcox coal to use as additional, necessary data for modeling performance of CO{sub 2} sequestration and enhanced coalbed methane recovery. To perform permeability testing of the Wilcox coal, we worked with Anadarko Petroleum Corporation in selecting the well and intervals to test and in designing the pressure transient test. Anadarko agreed to allow us to perform permeability tests in coal beds in an existing shut-in well (Well APCT2). This well is located in the region of the Sam K. Seymour power station, a site that we earlier identified as a major point source of CO{sub 2} emissions. A service company, Pinnacle Technologies Inc. (Pinnacle) was contracted to conduct the tests in the field. Intervals tested were 2 coal beds with thicknesses of 3 and 7 feet, respectively, at approximately 4,100 ft depth in the Lower Calvert Bluff Formation of the Wilcox Group in east-central Texas. Analyses of pressure transient test data indicate that average values for coalbed methane reservoir permeability in the tested coals are between 1.9 and 4.2 mD. These values are in the lower end of the range of permeability used in the preliminary simulation modeling. These new coal fracture permeability data from the APCT2 well, along with the acquired gas compositional analyses and sorption capacities of CO{sub 2}, CH{sub 4}, and N{sub 2}, complete the reservoir description phase of the project. During this quarter we also continued work on reservoir and economic modeling to evaluate performance of CO{sub 2} sequestration and enhanced coalbed methane recovery.

  4. Ergonomics - Using Ergonomics to Enhance Safe Production at a Surface Coal Mine - A Case Study with Powder Crews

    SciTech Connect (OSTI)

    Torma-Krajewski, J.; Wiehagen, W.; Etcheverry, A.; Turin, F.; Unger, R.

    2009-07-01

    Job tasks that involve exposure to work-related musculoskeletal disorder (WMSD) risk factors may impact both the risk of injury and production downtime. Common WMSD risks factors associated with mining tasks include forceful exertions, awkward postures, repetitive motion, jolting and jarring, forceful gripping, contact stress, and whole body and segmental vibration. Mining environments that expose workers to temperature/humidity extremes, windy conditions, and slippery and uneven walking surfaces also contribute to injury risk. National Institute for Occupational Safety and Health (NIOSH) researchers worked with powder crew members from the Bridger Coal Company to identify and rank routine work tasks based on perceived exposure to WMSD risk factors. This article presents the process followed to identify tasks that workers believed involved the greatest exposure to risk factors and discusses risk reduction strategies. Specifically, the proposed prill truck design changes addressed cab ingress/egress, loading blast holes, and access to the upper deck of the prill truck.

  5. Conversion of Low-Rank Wyoming Coals into Gasoline by Direct...

    Office of Scientific and Technical Information (OSTI)

    of Low-Rank Wyoming Coals into Gasoline by Direct Liquefaction Polyakov, Oleg 01 COAL, LIGNITE, AND PEAT Under the cooperative agreement program of DOE and funding from...

  6. IR ranking proposal and new beam parameter sets for the LHC upgrade the view of HHH

    E-Print Network [OSTI]

    Scandale, Walter

    2007-01-01

    We propose a ranking for the interaction-region (IR) optics based on the presentations and results from the first two days of the LUMI’06 workshop.

  7. Gauge invariant Lagrangian for non-Abelian tensor gauge fields of fourth rank

    E-Print Network [OSTI]

    G. Savvidy; T. Tsukioka

    2005-12-31

    Using generalized field strength tensors for non-Abelian tensor gauge fields one can explicitly construct all possible Lorentz invariant quadratic forms for rank-4 non-Abelian tensor gauge fields and demonstrate that there exist only two linear combinations of them which form a gauge invariant Lagrangian. Together with the previous construction of independent gauge invariant forms for rank-2 and rank-3 tensor gauge fields this construction proves the uniqueness of early proposed general Lagrangian up to rank-4 tensor fields. Expression for the coefficients of the general Lagrangian is presented in a compact form.

  8. RANKING NATIONAL FOOTBALL LEAGUE TEAMS USING GOOGLE'S ANJELA Y. GOVAN AND CARL D. MEYER

    E-Print Network [OSTI]

    H is H = 0 0 1/3 1/3 1/3 0 0 0 0 0 0 1 0 0 0 1/2 0 1/2 0 0 1/2 0 0 1/2 0 2.3. The rank they are displayed as the result of a web search. In this work we expand Google's idea of webpage ranking to ranking the query relevant web sites and displays them according to their predetermined rank. In order to calculate

  9. ESF Mine Power Center Platforms

    SciTech Connect (OSTI)

    T.A. Misiak

    2000-02-10

    The purpose and objective of this analysis is to structurally evaluate the existing Exploratory Studies Facility (ESF) mine power center (MPC) support frames and to design service platforms that will attach to the MPC support frames. This analysis follows the Development Plan titled ''Produce Additional Design for Title 111 Evaluation Report'' (CRWMS M&O 1999a). This analysis satisfies design recommended in the ''Title III Evaluation Report for the Surface and Subsurface Power System'' (CRWMS M&O 1999b, Section 7.6) and concurred with in the ''System Safety Evaluation of Title 111 Evaluation Reports Recommended Work'' (Gwyn 1999, Section 10.1.1). This analysis does not constitute a level-3 deliverable, a level-4 milestone, or a supporting work product. This document is not being prepared in support of the Monitored Geologic Repository (MGR) Site Recommendation (SR), Environmental Impact Statement (EIS), or License Application (LA) and should not be cited as a reference in the MGR SR, EIS, or LA.

  10. Denys Poshyvanyk CSci 780: Mining Software Repositories CSci 780: Mining Software Repositories

    E-Print Network [OSTI]

    Poshyvanyk, Denys

    Denys Poshyvanyk CSci 780: Mining Software Repositories 1 CSci 780: Mining:50pm Location: McGlothlin-Street Hall 002 Instructor: Denys Poshyvanyk Office Hours: MW, 11:30am-1pm Office: McGlothlin-Street Hall, 006 Email: denys [at-sign] cs

  11. En Route to Data Mining in Legal Text Corpora: Clustering, Neural Computation, and International Treaties

    E-Print Network [OSTI]

    Rauber,Andreas

    Treaties Dieter Merkl Erich Schweighofer Department of Computer Science Institute of Public International in analyzing data and finding crit­ ical nuggets of useful knowledge. A promising ap­ proach for data mining of such libraries whereby the detec­ tion of similarities between documents is the overall goal. These methods may

  12. Fast and Light Boosting for Adaptive Mining of Data Fang Chu and Carlo Zaniolo

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Fast and Light Boosting for Adaptive Mining of Data Streams Fang Chu and Carlo Zaniolo University queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept drift. We propose a novel boosting ensemble method that achieves

  13. Correlation of stratigraphy with revegetation conditions at the Gibbons Creek Lignite Mine, Grimes County, Texas 

    E-Print Network [OSTI]

    Parisot, Laurence D.

    1991-01-01

    (after Ott, 1988). . 2 Table for determining the tail area (after Ott, 1988). . . . 59 60 LIST OF FIGURES Figure Page 1 Lignite resources in Texas 2 Use of dragline for surface-mining at the Gibbons Creek Mine, Texas. . 3 3 Method of surface... of the lignite in a trench involves the removal of the overburden with the use of a dragline (Figure 2). When the lignite has been extracted from the cut, the trench is backfilled with the overburden of the adjacent trench. This new overburden forms the spoil...

  14. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers, Jr.; Jerry L. Jensen

    2004-07-01

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. The main tasks for this reporting period were to correlate well logs and refine coal property maps, evaluate methane content and gas composition of Wilcox Group coals, and initiate discussions concerning collection of additional, essential data with Anadarko. To assess the volume of CO{sub 2} that may be sequestered and volume of methane that can be produced in the vicinity of the proposed Sam Seymour sequestration site, we used approximately 200 additional wells logs from Anadarko Petroleum Corp. to correlate and map coal properties of the 3 coal-bearing intervals of Wilcox group. Among the maps we are making are maps of the number of coal beds, number of coal beds greater than 5 ft thick, and cumulative coal thickness for each coal interval. This stratigraphic analysis validates the presence of abundant coal for CO{sub 2} sequestration in the Wilcox Group in the vicinity of Sam Seymour power plant. A typical wellbore in this region may penetrate 20 to 40 coal beds with cumulative coal thickness between 80 and 110 ft. Gas desorption analyses of approximately 75 coal samples from the 3 Wilcox coal intervals indicate that average methane content of Wilcox coals in this area ranges between 216 and 276 scf/t, basinward of the freshwater boundary indicated on a regional hydrologic map. Vitrinite reflectance data indicate that Wilcox coals are thermally immature for gas generation in this area. Minor amounts of biogenic gas may be present, basinward of the freshwater line, but we infer that most of the Wilcox coalbed gas in the deep coal beds is migrated thermogenic gas. Analysis based on limited data suggest that sites for CO{sub 2} sequestration and enhanced coalbed gas recovery should be located basinward of the Wilcox freshwater contour, where methane content is high and the freshwater aquifer can be avoided.

  15. Catalytic steam gasification reactivity of HyperCoals produced from different rank of coals at 600-775{degree}C

    SciTech Connect (OSTI)

    Atul Sharma; Ikuo Saito; Toshimasa Takanohashi [National Institute of Advanced Industrial Science and Technology, Ibaraki (Japan). Advanced Fuel Group, Energy Technology Research Institute

    2008-11-15

    HyperCoal is a clean coal with ash content <0.05 wt %. HyperCoals were prepared from a brown coal, a sub-bituminous coal, and a bituminous raw coal by solvent extraction method. Catalytic steam gasification of these HyperCoals was carried out with K{sub 2}CO{sub 3} at 775, 700, 650, and 600 {degree}C, and their rates were compared. HyperCoals produced from low-rank coals were more reactive than those produced from the high-rank coals. XRD measurements were carried out to understand the difference in gasification reactivity of HyperCoals. Arrhenius plot of ln (k) vs 1/T in the temperature range 600-825{degree}C was a curve rather than a straight line. The point of change was observed at 700{degree}C for HyperCoals from low-rank coals and at 775{degree}C for HyperCoals from high-rank coals. Using HyperCoal produced from low-rank coals as feedstock, steam gasification of coal may be possible at temperatures less than 650{degree}C. 22 refs., 6 figs., 2 tabs.

  16. Data Mining Empowers the Generation of a Novel Class of Chromosome-specific DNA Probes

    E-Print Network [OSTI]

    Zeng, Hui

    2012-01-01

    eds. ), Zeng et al. : Data mining for probes Excerpta330. Zeng et al. : Data mining for probes 31. Fung J, WeierZeng et al. : Data mining for probes Data Mining Empowers

  17. Rehabilitation of semi-arid coal mine spoil bank soils with mine residues and farm organic by-products

    SciTech Connect (OSTI)

    Salazar, M.; Bosch-Serra, A.; Estudillos, G.; Poch, R.M. [University of Lleida, Lleida (Spain). Dept. of Environmental & Soil Science

    2009-07-01

    A method of rehabilitating coal mine soils was studied under the conditions of a semi-arid climate, lack of topsoil but availability of farm by-products in NE Spain. The objectives of the research were to assess a new method in order to achieve a suitable substrate for the establishment of native vegetation, to evaluate environmental impacts associated with the reclamation process, and to determine the time necessary to integrate the treated area into the surrounding environment. Eight plots (10 x 35 m{sup 2}) were established in September 1997. Substrate combinations of two types of mine spoil (coal dust and coarse-sized material), two levels of pig slurry (39 and 94 Mg ha{sup -1}dry-wt), and cereal straw (0 and 15 Mg ha{sup -1}) were applied. Monitoring of select physical and chemical soil properties and vegetation characteristics was performed from 1997 until 2005. The bulk density and the saturated hydraulic conductivity measured did not limit plant development and water availability. Initial substrate salinity (1.37 S m{sup -1}) decreased with time and in the long term did not limit plant colonization to salinity-adapted species. Initial nitrate concentration was 298 mg kg{sup -1}, but was reduced significantly to acceptable values in 3 years (55 mg kg{sup -1}) and the measured pH (7.6) was maintained at the level of initial spoil values. Vegetation cover reached up to 90%. In the treated area, spontaneous vegetation cover (15 to 70%) colonized the nonsown areas widely. In the medium term, vegetation cover tended to be higher in plots with a thicker layer of coal dust material and the higher slurry rate. Soil rehabilitation and environmental reintegration, taking into account soil and vegetation indicators, was possible in the studied area with low cost inputs using residual materials from mining activities and animal husbandry by-products.

  18. Method of lining a vertical mine shaft with concrete

    DOE Patents [OSTI]

    Eklund, James D. (Mattawa, WA); Halter, Joseph M. (Richland, WA); Rasmussen, Donald E. (Spokane, WA); Sullivan, Robert G. (Richland, WA); Moffat, Robert B. (Federal Way, WA)

    1981-01-01

    The apparatus includes a cylindrical retainer form spaced inwardly of the wall of the shaft by the desired thickness of the liner to be poured and having overlapping edges which seal against concrete flow but permit the form to be contracted to a smaller circumference after the liner has hardened and is self-supporting. A curb ring extends downwardly and outwardly toward the shaft wall from the bottom of the retainer form to define the bottom surface of each poured liner section. An inflatable toroid forms a seal between the curb ring and the shaft wall. A form support gripper ring having gripper shoes laterally extendable under hydraulic power to engage the shaft wall supports the retainer form, curb ring and liner until the newly poured liner section becomes self-supporting. Adjusting hydraulic cylinders permit the curb ring and retainer form to be properly aligned relative to the form support gripper ring. After a liner section is self-supporting, an advancing system advances the retainer form, curb ring and form support gripper ring toward a shaft boring machine above which the liner is being formed. The advancing system also provides correct horizontal alignment of the form support gripper ring.

  19. Time and Energy Optimal List Ranking Algorithms on the k-Channel Broadcast

    E-Print Network [OSTI]

    Nakano, Koji

    Time and Energy Optimal List Ranking Algorithms on the k-Channel Broadcast Communication Model Koji- nels. The main contribution of this paper is to present time and energy optimal list ranking algorithms Nakano School of Information Science Japan Advanced Insitute of Science and Technology Tatsunokuchi

  20. Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization that yield exact solutions. A popular heuristic algorithm replaces the rank function with the nuclear norm of this heuristic to non-symmetric matrices introduced by Fazel in [8] minimizes the nuclear norm, *Center

  1. Biological Question Answering with Syntactic and Semantic Feature Matching an Improved Mean Reciprocal Ranking Measurement

    E-Print Network [OSTI]

    Chu, Hao-hua

    . An improved mean reciprocal rank (MRR) measurement, mean average reciprocal rank (MARR), and an efficient formula to reduce the computational complexity of the MARR are proposed to address the same score problem. With our syntactic and semantic features, our system achieves a Top-1 MARR of 74.11% and Top-5 MARR of 76

  2. Low-rank coal research: Volume 1, Control technology, liquefaction, and gasification: Final report

    SciTech Connect (OSTI)

    Weber, G.F.; Collings, M.E.; Schelkoph, G.L.; Steadman, E.N.; Moretti, C.J.; Henke, K.R.; Rindt, J.R.; Hetland, M.D.; Knudson, C.L.; Willson, W.G.

    1987-04-01

    Volume I contains articles on SO/sub x//NO/sub x/ control, waste management, low-rank direct liquefaction, hydrogen production from low-rank coals, and advanced wastewater treatment. These articles have been entered individually into EDB and ERA. (LTN)

  3. The Effect of Ad Rank on the Performance of Keyword Advertising Campaigns

    E-Print Network [OSTI]

    Jansen, James

    The Effect of Ad Rank on the Performance of Keyword Advertising Campaigns Bernard J. Jansen and Zhe on the performance of keyword advertising cam- paigns. We examined a large-scale data file comprised of nearly 7 tests to examine the effect of ad rank on critical keyword advertising metrics, including clicks, cost

  4. Unit Computation in Purely Cubic Function Fields of Unit Rank 1

    E-Print Network [OSTI]

    Scheidler, Renate

    Unit Computation in Purely Cubic Function Fields of Unit Rank 1 Renate Scheidler .1 and Andreas for computing the fundamen- tal unit and regulator of a purely cubic congruence function field of unit rank 1 cubic lattice which is used for calculating the fundamental unit and regulator of a purely cubic number

  5. A PECULIARITY OF THE WILCOXON-MANN-WHITNEY RANK-SUM TEST

    E-Print Network [OSTI]

    A PECULIARITY OF THE WILCOXON-MANN-WHITNEY RANK-SUM TEST Scotia Canada B3H 3C3 Keywords: intransitivity, rank-sum test, Behrens-Mann-Whitney test is a test of relative location whenever the two distributions are symmetric. By con- trast

  6. Fast matrix algebra for dense matrices with rank-deficient off-diagonal blocks

    E-Print Network [OSTI]

    Martinsson, Gunnar

    CHAPTER 2 Fast matrix algebra for dense matrices with rank-deficient off-diagonal blocks Chapter whose off diagonal blocks are of low (numerical) rank. The primary focus is on matrix inversion, but algorithms for matrix-vector and matrix-matrix multiplication are also described. 2.1. Introduction All

  7. Distributing medicine using PageRank Department of Mathematics and Computer Science

    E-Print Network [OSTI]

    Goddard, Wayne

    Background Approach Results Distributing medicine using PageRank Paul Horn Department October 7, 2010 Horn Distributing medicine using PageRank #12;Background Approach Results The Problem Disease breaks out! We need to stop it before it becomes an epidemic! We want to distribute medicine so

  8. RankSQL: Query Algebra and Optimization for Relational Top-k Queries

    E-Print Network [OSTI]

    Ilyas, Ihab Francis

    RankSQL: Query Algebra and Optimization for Relational Top-k Queries Chengkai Li1 Kevin Chen systems (RDBMS), by extending relational algebra and query optimization. Previously, top-k query and principled framework to support efficient evaluations of ranking (top-k) queries in relational database

  9. Waterfowl habitats on reclaimed surface mined lands in southwestern Illinois

    SciTech Connect (OSTI)

    O'Leary, W.G.; Klimstra, W.D.; Nawrot, J.R.

    1984-12-01

    Loss of quality wetland habitat is probably the most important factor affecting populations of waterfowl in the United States. To counteract this problem programs for protecting critical habitats have been established and research for innovative methods to create wetlands are being pursued. Recently, attention has been given to evaluation of wetland habitats on lands surface-mined and to methods of reclamation to enhance their development as part of future planning. These data indicate quality wetland habitats can be a legitimate aspect of reclaimed surface-mined lands; and selective overburden handling, grading so as to maximize biologically productive zones and selective plantings contribute importantly to their value. Currently bond release criteria by the Illinois regulatory authority for wildlife habitat and developed water resources discourages reclamation that would maximize quality wetland habitats. Suggested changes in these criteria include alternative vegetation requirements for wetland habitats, more leniency on seasonally inundated shallow water areas, and variation from topsoil requirements when adequate unconsolidated substitute material is available. It is believed that such allowances would result in incentives for the industry to develop wetland habitats so vital to continued enjoyment of waterfowl resources.

  10. Jared C. Carbone April 2015 Colorado School of Mines Phone: 303-384-2175

    E-Print Network [OSTI]

    and Economics Email: jcarbone@mines.edu Engineering Hall Web: http://www.mines.edu/~jcarbone 816 15th Street

  11. CO2 SEQUESTRATION POTENTIAL OF TEXAS LOW-RANK COALS

    SciTech Connect (OSTI)

    Duane A. McVay; Walter B. Ayers Jr; Jerry L. Jensen

    2004-11-01

    The objectives of this project are to evaluate the feasibility of carbon dioxide (CO{sub 2}) sequestration in Texas low-rank coals and to determine the potential for enhanced coalbed methane (CBM) recovery as an added benefit of sequestration. there were two main objectives for this reporting period. first, they wanted to collect wilcox coal samples from depths similar to those of probable sequestration sites, with the objective of determining accurate parameters for reservoir model description and for reservoir simulation. The second objective was to pursue opportunities for determining permeability of deep Wilcox coal to use as additional, necessary data for modeling reservoir performance during CO{sub 2} sequestration and enhanced coalbed methane recovery. In mid-summer, Anadarko Petroleum Corporation agreed to allow the authors to collect Wilcox Group coal samples from a well that was to be drilled to the Austin Chalk, which is several thousand feet below the Wilcox. In addition, they agreed to allow them to perform permeability tests in coal beds in an existing shut-in well. Both wells are in the region of the Sam K. Seymour power station, a site that they earlier identified as a major point source of CO{sub 2}. They negotiated contracts for sidewall core collection and core analyses, and they began discussions with a service company to perform permeability testing. To collect sidewall core samples of the Wilcox coals, they made structure and isopach maps and cross sections to select coal beds and to determine their depths for coring. On September 29, 10 sidewall core samples were obtained from 3 coal beds of the Lower Calvert Bluff Formation of the Wilcox Group. The samples were desorbed in 4 sidewall core canisters. Desorbed gas samples were sent to a laboratory for gas compositional analyses, and the coal samples were sent to another laboratory to measure CO{sub 2}, CH{sub 4}, and N{sub 2} sorption isotherms. All analyses should be finished by the end of December. A preliminary report shows methane content values for the desorbed coal samples ranged between 330 and 388 scf/t., on ''as received'' basis. Residual gas content of the coals was not included in the analyses, which results in an approximate 5-10% underestimation of in-situ gas content. Coal maps indicate that total coal thickness is 40-70 ft in the Lower Calvert Bluff Formation of the Wilcox Group in the vicinity of the Sam K. Seymour power plant. A conservative estimate indicates that methane in place for a well on 160-acre spacing is approximately 3.5 Bcf in Lower Calvert Bluff coal beds. When they receive sorption isotherm data from the laboratory, they will determine the amount of CO{sub 2} that it may be possible to sequester in Wilcox coals. In December, when the final laboratory and field test data are available, they will complete the reservoir model and begin to simulate CO{sub 2} sequestration and enhanced CH{sub 4} production.

  12. Marcelo Godoy Simes e-mail: msimoes@mines.edu

    E-Print Network [OSTI]

    Simões, Marcelo Godoy

    1 Marcelo Godoy Simões e-mail: msimoes@mines.edu webpage: http://inside.mines.edu/~msimoes, http://aceps for Advanced Control of Energy and Power Systems ­ ACEPS and is currently spearheading the new Colorado

  13. B.S. in Mining Engineering Four-Year Plan

    E-Print Network [OSTI]

    Wong, Pak Kin

    courses (See advisor for requirements) 5TH SEMESTER MNE 427 Geomechanics 4 CE 214; CE 215 MNE 412 Mine MNE 427 Geomechanics 4 CE 214; CE 215 MNE 412 Mine Surveying 2 Corequisite MNE 297A CE 218 Mechanics

  14. Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting

    E-Print Network [OSTI]

    Plale, Beth

    Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting Nithya N. Vijayakumar {rramachandran, xli}@itsc.uah.edu Abstract-- Mesoscale meteorology forecasting as a data driven application Triggers, Data Mining, Stream Processing, Meteorology Forecasting I. INTRODUCTION Mesoscale meteorologists

  15. WIPP’s Mine Rescue Teams Lead Competition

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – The Waste Isolation Pilot Plant’s (WIPP) two mine rescue teams recently led the field of 13 groups competing in the Southwest Regional Mine Rescue Contest.

  16. An experimental investigation of mine burial penetration in soft sediments 

    E-Print Network [OSTI]

    Munim, Mohammed Abdul

    2003-01-01

    An experimental program was conducted to study the penetration behavior of mines in soft sediment. Model tests were conducted on sediments collected from the Gulf of Mexico seabed. The size of the model mine was approximately one third...

  17. Discovering Motifs in Ranked Lists of DNA Sequences

    E-Print Network [OSTI]

    Mandel-Gutfreund, Yael

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 4 Materials and Methods 10 4.1 The minimum hyper-geometric (mHG) score . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.3 Multi-dimensional mHG Score . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.3.1 P-value of the multi-dimensional mHG score . . . . . . . . . . . . . . . . . . . . . 14 4

  18. A generic study of strip mining impacts on groundwater resources

    E-Print Network [OSTI]

    Hamilton, David Andrew

    1977-01-01

    This report evaluates the influence of strip mining features, commonly found in the Northern Great Plains Coal Region, on ground

  19. A Three-layered Conceptual Framework of Data Mining

    E-Print Network [OSTI]

    Yao, Yiyu

    A Three-layered Conceptual Framework of Data Mining Y.Y. Yao1 , N. Zhong2 and Y. Zhao1 1 Department-Cho, Maebashi 371, Japan E-mail: zhong@maebashi-it.ac.jp Summary. The study of the foundations of data mining may be viewed as a scien- tific inquiry into the nature of data mining and the scope of data mining

  20. Emission control options for mine diesels

    SciTech Connect (OSTI)

    Waytulonis, R.W. (Bureau of Mines, Twin Cities, MN (USA). Twin Cities Research Center)

    1991-03-01

    New exhaust control techniques and devices may be necessary to meet future diesel particulate matter emission standards in underground coal mines. This paper reviews conventional work practices and devices used to control diesel exhaust emissions, and new techniques being tested by the US Bureau of Mines. Discussions center on important work practices and on the function and efficiency of exhaust aftertreatment devices. An industry-government cooperative research project to develop and test an exhaust aftertreatment system for part 36 equipment is also discussed.

  1. High pressure water jet mining machine

    DOE Patents [OSTI]

    Barker, Clark R. (Rolla, MO)

    1981-05-05

    A high pressure water jet mining machine for the longwall mining of coal is described. The machine is generally in the shape of a plowshare and is advanced in the direction in which the coal is cut. The machine has mounted thereon a plurality of nozzle modules each containing a high pressure water jet nozzle disposed to oscillate in a particular plane. The nozzle modules are oriented to cut in vertical and horizontal planes on the leading edge of the machine and the coal so cut is cleaved off by the wedge-shaped body.

  2. 1 INTRODUCTION Appalachian coal recovered during mining fre-

    E-Print Network [OSTI]

    overlies a section of the mine workings and, therefore, long term stability of the mine work- ings (Newman, 2003). In this paper, a "risk analysis" approach was util- ized to evaluate the potential impacts of room-and- pillar mine workings on the impoundment site. Un- der this methodology, a "worst case

  3. Underground Mine Communication and Tracking Systems : A Survey

    E-Print Network [OSTI]

    New South Wales, University of

    . The underground mining environment is remarkably different from the condi- tions present on the surface the mine. The self ignition of coal seams results from an exothermic reaction of coal and oxygenUnderground Mine Communication and Tracking Systems : A Survey Prasant Misra1 Diet Ostry2 Sanjay

  4. UTILIZATION OF SEISMIC AND INFRASOUND SIGNALS FOR CHARACTERIZING MINING EXPLOSIONS

    E-Print Network [OSTI]

    Stump, Brian W.

    on the Western US, where a variety of different types of mining operations exist, ranging from surface coal cast, single-fired explosions of varying yield were conducted in the coal mine. At regional distances in developing ground truth. Unlike coal cast or taconite blasts, Morenci Copper Mine often shoots several

  5. Underground Coal Mine Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    10 Underground Coal Mine Monitoring with Wireless Sensor Networks MO LI and YUNHAO LIU Hong Kong University of Science and Technology Environment monitoring in coal mines is an important application queries under instable circumstances. A prototype is deployed with 27 mica2 motes in a real coal mine. We

  6. Visiting Assistant Professor New Mexico Institute of Mining and Technology

    E-Print Network [OSTI]

    Borchers, Brian

    Visiting Assistant Professor New Mexico Institute of Mining and Technology The Department. Send all material to New Mexico Institute of Mining and Technology, Human Resources, Socorro, NM 87801 of Mathematics at New Mexico Institute of Mining and Tech- nology invites applications for a Visiting Assistant

  7. A Visualization Application for the Mining Industry Using Standard Tools

    E-Print Network [OSTI]

    1/1 A Visualization Application for the Mining Industry Using Standard Tools Steven J. Schafrik visualization tools for modeling an orebody, or a mining process such as loading and tramming. This is usually accomplished using commercial tools, such as mine design packages, process simulators, etc., that have a custom

  8. Open DMIX: High Performance Web Services for Distributed Data Mining

    E-Print Network [OSTI]

    Grossman, Robert

    Open DMIX: High Performance Web Services for Distributed Data Mining Robert Grossman , Yunhong Gu Krishnaswamy, Web-Service Based Data Mining Middleware for Grid Computing Environments, 7th Interna- tional collection of web services for the mining, integration, and exploration of remote and dis- tributed data. We

  9. Revised October 1, 2012 COLORADO SCHOOL OF MINES

    E-Print Network [OSTI]

    Revised October 1, 2012 COLORADO SCHOOL OF MINES PERFORMANCE MANAGEMENT USER GUIDE Table ........................................................................................29 #12;2 PREFACE The Colorado School of Mines Performance Management System and this associated, the Colorado School of Mines performance management system has been designed to encourage collaborative efforts

  10. Data Mining Using Light Weight Object Management in Clustered Computing

    E-Print Network [OSTI]

    Grossman, Robert

    Data Mining Using Light Weight Object Management in Clustered Computing Environments R. L. Grossman, Inc. Oak Park, Illinois February, 1996 This is a draft of the following article: Data Mining Using, and infrequently updated. These operations and access patterns are common when data mining large data stores, which

  11. Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual

    E-Print Network [OSTI]

    Hüllermeier, Eyke

    Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies Eyke H recently also in the field of data mining. In this chapter, we provide a synthesis of different approaches of knowledge discovery in databases (KDD) and its core methodological component, data mining, have attracted

  12. Dynamic Data Mining* Vijay Raghavan and Alaaeldin Hafez1

    E-Print Network [OSTI]

    Raghavan, Vijay

    Dynamic Data Mining* Vijay Raghavan and Alaaeldin Hafez1 (raghavan, ahafez Abstract. Business information received from advanced data analysis and data mining is a critical success as a local procedure to generate large itemsets. We prove that the Dynamic Data Mining algorithm is correct

  13. Data Mining et Statistique Philippe Besse # , Caroline Le Gall + ,

    E-Print Network [OSTI]

    Besse, Philippe

    Data Mining et Statistique Philippe Besse # , Caroline Le Gall + , Nathalie Raimbault # & Sophie Sarpy § Râ??esumâ??e Cet article propose une introduction au Data Mining. Celle­ci prend la forme d'une r permettent de tirer quelques ensei­ gnements sur les pratiques du data mining : choix d'une mâ??ethode, comp

  14. Interactive Data Mining Considered Harmful (If Done Wrong)

    E-Print Network [OSTI]

    Waldmann, Uwe

    Interactive Data Mining Considered Harmful (If Done Wrong) Pauli Miettinen Max-Planck-Institut für Informatik Saarbrücken, Germany pauli.miettinen@mpi-inf.mpg.de ABSTRACT Interactive data mining can, there is a serious risk that the user of powerful interactive data mining tools will only find the results she

  15. Data Mining: Spring 2013 Statistics 36-462/36-662

    E-Print Network [OSTI]

    Tibshirani, Ryan

    Data Mining: Spring 2013 Statistics 36-462/36-662 Instructor: Ryan Tibshirani, Dept. of Statistics:30-2:50pm, Porter Hall 125C Overview and objectives Data mining is the science of discovering structure and making predictions in data sets (typically, large ones). Applications of data mining are happening all

  16. A Perspective on Statistical Tools for Data Mining Applications

    E-Print Network [OSTI]

    Rocke, David M.

    A Perspective on Statistical Tools for Data Mining Applications David M. Rocke Center for Image Processing and Integrated Computing University of California, Davis Statistics and Data Mining Statistics in the field are aimed at more exploratory ends. In this sense, data mining (defined as the exploratory

  17. Data Mining Middleware for Wide Area High Performance Networks

    E-Print Network [OSTI]

    Grossman, Robert

    1 Data Mining Middleware for Wide Area High Performance Networks Robert L. Grossman*, Yunhong Gu, David Hanley, and Michal Sabala National Center for Data Mining, University of Illinois at Chicago, USA multiple high volume data streams. Both rely on newly developed data transport and data mining middleware

  18. A Data Stream Mining System Hetal Thakkar Barzan Mozafari

    E-Print Network [OSTI]

    A Data Stream Mining System Hetal Thakkar Barzan Mozafari University of California at Los Angeles {hthakkar, barzan, zaniolo}@cs.ucla.edu Carlo Zaniolo Abstract On-line data stream mining has attracted much library of mining algorithms that are fast & light enough to be effective on data streams, and (iii) sup

  19. A Statistical Perspective on Data Mining Ranjan Maitra

    E-Print Network [OSTI]

    Maitra, Ranjan

    A Statistical Perspective on Data Mining Ranjan Maitra Abstract Technological advances have led. Such capability is provided by data mining which combines core statistical techniques with those from machine of data mining from the point of view of a researcher in databases and for help with Figure 4, Rouben

  20. Text and spatial data mining Finn Arup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Text and spatial data mining Finn °Arup Nielsen Lundbeck Foundation Center for Integrated Molecular data mining Parcellation of the human brain Parcellation of the human brain by combining text min- ing and spatial data min- ing within a neuroinformatics database. Text mining: Analysis of sci- entific abstracts

  1. Data Mining and Knowledge ISSN 1384-5810

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    1 23 Data Mining and Knowledge Discovery ISSN 1384-5810 Volume 22 Combined 1-2 Data Min Knowl Disc this knowledge for future severe weather detection and prediction algorithms. Keywords Temporal data mining accuracy are to take place. The long-term goals of our work in spatiotemporal data mining

  2. DISCUSSIONS AND CLOSURES Discussion of "Data Mining Process for

    E-Print Network [OSTI]

    Chahar, B. R.

    DISCUSSIONS AND CLOSURES Discussion of "Data Mining Process for Integrated Evaporation Model" by M should be commended for presenting an investigation on the ability and accuracy of the data mining-based evapotranspiration esti- mation models Abtew 2001 . On the other hand, the data mining process appears under

  3. Toward Knowledge-Rich Data Mining Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Toward Knowledge-Rich Data Mining Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA 98195 pedrod@cs.washington.edu 1 The Knowledge Gap Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining

  4. MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES? , D. BERLEANTa,d

    E-Print Network [OSTI]

    Wurtele, Eve Syrkin

    MINING MEDLINE: ABSTRACTS, SENTENCES, OR PHRASES? J. DINGa , D. BERLEANTa,d , D. NETTLETONb , AND E addresses automated mining for biochemical information from digital repositories of scientific literature, and effectiveness for the task of mining interactions among biochemical terms based on term co- occurrence. Results

  5. Efficient Mining of Partial Periodic Patterns in Time Series Database

    E-Print Network [OSTI]

    Dong, Guozhu

    Efficient Mining of Partial Periodic Patterns in Time Series Database In ICDE 99 Jiawei Han \\Lambda peri­ odic patterns in time­series databases, is an interesting data mining problem. Previous studies several algorithms for efficient mining of par­ tial periodic patterns, by exploring some interesting

  6. Mining gene sets for measuring similarities CHRISTINE NARDINI1

    E-Print Network [OSTI]

    Nardini, Christine

    Mining gene sets for measuring similarities CHRISTINE NARDINI1 , DANIELE MASOTTI2 , SUNGROH YOON3 and data mining of these new, large types of data. The proliferation of devices able to process in paral of number of genes under different environmental conditions. Data mining algorithms demanded to the analysis

  7. PROOF MINING: A SYSTEMATIC WAY OF ANALYSING PROOFS IN MATHEMATICS

    E-Print Network [OSTI]

    Haller-Dintelmann, Robert

    PROOF MINING: A SYSTEMATIC WAY OF ANALYSING PROOFS IN MATHEMATICS ULRICH KOHLENBACH AND PAULO OLIVA Abstract. We call proof mining the process of logically analyzing proofs in mathe- matics with the aim of the main techniques used in proof mining. We show that those techniques not only apply to proofs based

  8. Data Mining: Data Analysis on a Grand Scale? Padhraic Smyth

    E-Print Network [OSTI]

    Smyth, Padhraic

    Data Mining: Data Analysis on a Grand Scale? Padhraic Smyth Information and Computer Science informationfrommassiveobservationaldatasets. Because of this historical context, data mining to date has largely focused on computational a brief review of the origins of data mining as well as discussing some of the primary themes in current

  9. Data mining in design of products and production systems

    E-Print Network [OSTI]

    Kusiak, Andrew

    Data mining in design of products and production systems Andrew Kusiak *, Matthew Smith Intelligent Data mining is acquiring its own identity by refining concepts from other disciplines, developing affected by the data mining pursuit. This paper outlines areas of product and manufacturing system design

  10. Sparse Component Analysis: a New Tool for Data Mining

    E-Print Network [OSTI]

    Cichocki, Andrzej

    Sparse Component Analysis: a New Tool for Data Mining Pando Georgiev1 , Fabian Theis2 , Andrzej,hova}@bsp.brain.riken.go.jp Summary. In many practical problems for data mining the data X under consid- eration (given as (m × N Separation, cluster- ing. 1 Introduction Data mining techniques can be divided into the following classes [3

  11. DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM

    E-Print Network [OSTI]

    DATA MINING FOR A WEB-BASED EDUCATIONAL SYSTEM By Behrouz Minaei-Bidgoli A DISSERTATION Submitted Department of Computer Science and Engineering 2004 #12;ii ABSTRACT DATA MINING FOR A WEB-BASED EDUCATIONAL mining and knowledge discovery techniques can be applied to find interesting relationships between

  12. van der Waerden's Theorem and Topological Dynamics Proof Mining

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Outline van der Waerden's Theorem and Topological Dynamics Proof Mining Proof Analysis Comparison with van der Waerden's proof Proof Mining in Topological Dynamics Philipp Gerhardy Department of Mathematics University of Oslo Oberwolfach, April 6 - April 12, 2008. Philipp Gerhardy Proof Mining

  13. Feature Mining Paradigms for Scientific Data Tat-Sang Choy

    E-Print Network [OSTI]

    Wilkins, John

    Feature Mining Paradigms for Scientific Data Ming Jiang Tat-Sang Choy Sameep Mehta Matt Coatney techniques that can mine, track, and visualize the important features in the data. In this paper, we present to their complex evolution. Our framework includes two paradigms for feature mining, and the choice of one over

  14. When do Data Mining Results Violate Privacy? Murat Kantarcioglu

    E-Print Network [OSTI]

    Jin, Jiashun

    When do Data Mining Results Violate Privacy? Murat Kantarcioglu Purdue University Computer Sciences Privacy-preserving data mining has concentrated on obtain- ing valid results when the input data. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications-- Data mining; H.2

  15. Text Mining: The state of the art and the challenges

    E-Print Network [OSTI]

    Tan, Ah-Hwee

    Text Mining: The state of the art and the challenges Ah-Hwee Tan Kent Ridge Digital Labs 21 Heng Mui Keng Terrace Singapore 119613 Email: ahhwee@krdl.org.sg Abstract Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting

  16. Data Mining to Characterize Signatures of Impending System Events

    E-Print Network [OSTI]

    Data Mining to Characterize Signatures of Impending System Events or Performance from PMU the Future Electric Energy System #12;#12;Data Mining to Characterize Signatures of Impending System Events Mining to Characterize Signatures of Impending System Events or Performance from PMU Measurements

  17. Standardization of Components, Products and Processes with Data Mining

    E-Print Network [OSTI]

    Kusiak, Andrew

    1 Standardization of Components, Products and Processes with Data Mining Bruno AGARD Département de - 1527, USA andrew-kusiak@uiowa.edu ABSTRACT Data mining offers tools for extracting knowledge from databases. This paper discusses applications of data mining in standardization of components, products

  18. Data Mining and Applied Linear Algebra Department of Mathematics

    E-Print Network [OSTI]

    Data Mining and Applied Linear Algebra Moody Chu Department of Mathematics North Carolina State area of disciplines. Extract- ing interesting knowledge from raw data, or data mining in a broader precisely defined. The ba- sic principle of data mining is to distinguish which variable is related to which

  19. Proof Mining in Ergodic Theory and Topological Dynamics

    E-Print Network [OSTI]

    Gerhardy, Philipp

    Proof Mining in Ergodic Theory and Topological Dynamics Philipp Gerhardy Department of Mathematics, University of Oslo Proof Mining in Ergodic Theory and Topological Dynamics ­ p.1/10 #12;Introduction "Proof mining" is the subfield of mathematical logic concerned with extracting additional information from

  20. CHARM: An Efficient Algorithm for Closed Association Rule Mining

    E-Print Network [OSTI]

    Bystroff, Chris

    CHARM: An Efficient Algorithm for Closed Association Rule Mining Mohammed J. Zaki and Ching,hsiaocg@cs.rpi.edu http://www.cs.rpi.edu/#24;zaki Abstract The task of mining association rules consists of two main steps all high confidence rules among itemsets. In this paper we show that it is not necessary to mine all

  1. Mining of EL-GCIs Daniel Borchmann and Felix Distel

    E-Print Network [OSTI]

    Baader, Franz

    Mining of EL-GCIs Daniel Borchmann and Felix Distel Faculty of Computer Science TU Dresden Dresden, Germany {borch,felix}@tcs.inf.tu-dresden.de Abstract--We consider an existing approach for mining general mining, this approach allows more complex patterns to be obtained. Ours is the first implementation

  2. TextVis: An Integrated Visual Environment for Text Mining *

    E-Print Network [OSTI]

    Lindell, Yehuda

    TextVis: An Integrated Visual Environment for Text Mining * David Landau, Ronen Feldman, Yonatan University of Washington Seattle, WA zamir@cs.washington.edu Abstract. TextVis is a visual data mining system can be used to browse the collection. TextVis takes a multi­strategy approach to text mining

  3. Data mining in high energy physics Bertrand Brelier

    E-Print Network [OSTI]

    Prodiæ, Aleksandar

    Data mining in high energy physics Bertrand Brelier SOSCIP July 3, 2014 Bertrand Brelier (SOSCIP) Data mining in high energy physics July 3, 2014 1 / 8 #12;The Large Hadron Collider (LHC) Bertrand Brelier (SOSCIP) Data mining in high energy physics July 3, 2014 2 / 8 #12;The ATLAS detector Bertrand

  4. Efficiently Mining Long Patterns from Databases Roberto J. Bayardo Jr.

    E-Print Network [OSTI]

    Fiat, Amos

    Efficiently Mining Long Patterns from Databases Roberto J. Bayardo Jr. IBM Almaden Research Center http:Nwww.almaden.ibm.com/cs/people/bayardo/ bayardo@alum.mit.edu Abstract Wepresenta pattern-mining the fundamentaloperationbehind several common data-mining tasksincluding associationrule [l] andsequentialpatternmining [4

  5. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Fall 2012 Instructor: Dr. Hui Xiong E or by appointment Text Book: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar for analysts to sift through the data even though it may contain useful information. Data mining holds great

  6. Data Mining: Where is it Heading? Database Systems Research Laboratory

    E-Print Network [OSTI]

    Han, Jiawei

    Data Mining: Where is it Heading? (Panel) Jiawei Han Database Systems Research Laboratory School of Computing Science Simon Fraser University, B.C., Canada V5A 1S6 E-mail: han@cs.sfu.ca Abstract Data mining on the issues in the field. Data mining has attracted popular interest recently, due to the high demand

  7. van der Waerden's Theorem and Topological Dynamics Proof Mining

    E-Print Network [OSTI]

    Gerhardy, Philipp

    van der Waerden's Theorem and Topological Dynamics Proof Mining Proof Analysis Conclusion Proof Mining in Topological Dynamics Philipp Gerhardy Department of Mathematics University of Oslo Logic Colloquium 2008, Bern, Switzerland, July 3-8. Philipp Gerhardy Proof Mining in Topological Dynamics #12;van

  8. Pre-Inca mining in the Southern Nasca Region, Peru

    E-Print Network [OSTI]

    Pre-Inca mining in the Southern Nasca Region, Peru Jelmer W. Eerkens1 , Kevin J. Vaughn2 & Moises Linares Grados3 Guided by modern miners of the region the authors track down pre-Inca mining sites, extraction or production. Keywords: Peru, Nasca, pre-Hispanic, mining Introduction Godoy (1985) has suggested

  9. Mining Databases and Data Streams with Query Languages and Rules

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Mining Databases and Data Streams with Query Languages and Rules Carlo Zaniolo Computer Science that are beyond the reach of traditional Data Base Management Systems (DBMS), data mining stands out because extensions that have proven very effective at supporting data mining. Finally, we turn our attention

  10. A Knowledge Mining Framework for Business Analysts Themis Palpanas

    E-Print Network [OSTI]

    Palpanas, Themis

    A Knowledge Mining Framework for Business Analysts Themis Palpanas University of Trento themis@disi.unitn.eu Abstract--Several studies have focused on problems related to data mining techniques, including several applications of these techniques in the e-commerce setting. In this work, we describe how data mining

  11. Secure Multiparty Computation for Privacy-Preserving Data Mining

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Secure Multiparty Computation for Privacy-Preserving Data Mining Yehuda Lindell Benny Pinkas May 6 and discuss their relevance to the field of privacy-preserving data mining. In addition to re- viewing to privacy-preserving data mining. Finally, we discuss the relationship between secure multiparty computation

  12. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Spring 2011 Instructor: Dr. Hui Xiong E-353-5261 Text Book: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Addison for analysts to sift through the data even though it may contain useful information. Data mining holds great

  13. RUTGERS -THE STATE UNIVERSITY OF NEW JERSEY Data Mining

    E-Print Network [OSTI]

    RUTGERS - THE STATE UNIVERSITY OF NEW JERSEY Data Mining Fall 2013 Instructor: Dr. Hui Xiong E: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Addison Wesley, ISBN: 0 even though it may contain useful information. Data mining holds great promise to address this problem

  14. KOINOTITES: A Web Usage Mining Tool for Personalization

    E-Print Network [OSTI]

    Paliouras, George

    KOINOTITES: A Web Usage Mining Tool for Personalization Dimitrios Pierrakos Inst. of Informatics@iit.demokritos.gr SUMMARY This paper presents the Web Usage Mining system KOINOTITES, which uses data mining techniques for the construction of user communities on the Web. User communities model groups of visitors in a Web site, who have

  15. Mineralogical transformations controlling acid mine drainage1 T. Peretyazhko*1

    E-Print Network [OSTI]

    Burgos, William

    Mineralogical transformations controlling acid mine drainage1 chemistry2 3 4 5 T. Peretyazhko*1 , J drainage, schwertmannite, mineralogical transformations65 #12;4 1. Introduction66 Acid mine drainage (AMD tetyana.peretyazhko@pnl.gov.35 #12;2 Abstract36 The role of Fe(III) minerals in controlling acid mine

  16. Electricity Generation from Synthetic Acid-Mine Drainage (AMD) Water

    E-Print Network [OSTI]

    Electricity Generation from Synthetic Acid-Mine Drainage (AMD) Water using Fuel Cell Technologies, 2007. Acid-mine drainage (AMD) is difficult and costly to treat. We investigated a new approach to AMD and systems suitable for scale-up. Introduction Acid-mine drainage (AMD) is a serious environmental problem

  17. SOLUTION MINING IN SALT DOMES OF THE GULF COAST EMBAYMENT

    SciTech Connect (OSTI)

    Griswold, G. B.

    1981-02-01

    Following a description of salt resources in the salt domes of the gulf coast embayment, mining, particularly solution mining, is described. A scenario is constructed which could lead to release of radioactive waste stored in a salt dome via inadvertent solution mining and the consequences of this scenario are analyzed.

  18. A Probability Analysis for Frequent Itemset Mining Algorithms Nele Dexters

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    M Research Group, University of Antwerp, Belgium Since the introduction of the Frequent Itemset Mining (FIMA Probability Analysis for Frequent Itemset Mining Algorithms Nele Dexters PhD student, ADRe, Mining Association Rules between Sets of Items in Large Databases, in Proc. ACM SIGMOD Conference

  19. Mining Closed Strict Episodes Nikolaj Tatti and Boris Cule

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Closed Strict Episodes Nikolaj Tatti and Boris Cule University of Antwerp Antwerp, Belgium of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing subset relationship within it and use it efficiently. In order to mine closed episodes we define

  20. Mining All Non-Derivable Frequent Itemsets Toon Calders1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    , Belgium 2 University of Limburg, Belgium Abstract. Recent studies on frequent itemset mining algorithms reMining All Non-Derivable Frequent Itemsets Toon Calders1 and Bart Goethals2 1 University of Antwerp representation of the frequent itemsets, instead of mining all fre- quent itemsets. The main goal of this paper

  1. ADVANCED UNDERGROUND GAS STORAGE CONCEPTS REFRIGERATED-MINED CAVERN STORAGE

    SciTech Connect (OSTI)

    1998-09-01

    Limited demand and high cost has prevented the construction of hard rock caverns in this country for a number of years. The storage of natural gas in mined caverns may prove technically feasible if the geology of the targeted market area is suitable; and economically feasible if the cost and convenience of service is competitive with alternative available storage methods for peak supply requirements. It is believed that mined cavern storage can provide the advantages of high delivery rates and multiple fill-withdrawal cycles in areas where salt cavern storage is not possible. In this research project, PB-KBB merged advanced mining technologies and gas refrigeration techniques to develop conceptual designs and cost estimates to demonstrate the commercialization potential of the storage of refrigerated natural gas in hard rock caverns. Five regions of the U.S.A. were studied for underground storage development and PB-KBB reviewed the literature to determine if the geology of these regions was suitable for siting hard rock storage caverns. Area gas market conditions in these regions were also studied to determine the need for such storage. Based on an analysis of many factors, a possible site was determined to be in Howard and Montgomery Counties, Maryland. The area has compatible geology and a gas industry infrastructure for the nearby market populous of Baltimore and Washington D.C.. As Gas temperature is lowered, the compressibility of the gas reaches an optimum value. The compressibility of the gas, and the resultant gas density, is a function of temperature and pressure. This relationship can be used to commercial advantage by reducing the size of a storage cavern for a given working volume of natural gas. This study looks at this relationship and and the potential for commercialization of the process in a storage application. A conceptual process design, and cavern design were developed for various operating conditions. Potential site locations were considered and a typical plant layout was developed. In addition a geomechanical review of the proposed cavern design was performed, evaluating the stability of the mine rooms and shafts, and the effects of the refrigerated gas temperatures on the stability of the cavern. Capital and operating cost estimates were also developed for the various temperature cases considered. The cost estimates developed were used to perform a comparative market analysis of this type of gas storage system to other systems that are commercially used in the region of the study.

  2. ITP Mining: Water Use in Industries of the Future: Mining Industry

    Broader source: Energy.gov [DOE]

    Water and energy may be directly or indirectly related in the mining industry, and the connection is mainly through pumping power to transfer the water or aqueous slurries of mineral products to another location.

  3. ITP Mining: Energy and Environmental Profile of the U.S. Mining...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Table of Contents Chapter 1 - Mining Overview Chapter 2 - Coal Chapter 3 - Potash, Soda Ash, and Borates Chapter 4 - Iron Chapter 5 - Copper Chapter 6 - Lead and Zinc Chapter 7 -...

  4. Safety in Mine Research EstablishmentPresent-day requirements for protection against fire in coal mines 

    E-Print Network [OSTI]

    Kushnarev, A.; Koslyuk, A.; Petrov, P.

    Analysis of a statistical data shows that, on an average, about 50% of the total underground emergencies occurring in coal mines in the USSR are due to fires. Great attention is, therefore, paid in our country to the problem ...

  5. Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS/GRAB Model

    E-Print Network [OSTI]

    Chu, Peter C.

    Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS hunting component of the U.S. Navy's Mine Hunting and Countermeasure ships. #12;Detection Sonar and MOODS. Global GDEM has a 30'30' resolution U.S. Navy's Operationally important areas contain resolutions

  6. Gemstone mining as a development cluster: A study of Brazil's emerald mines Jose Antonio Puppim de Oliveira a,n

    E-Print Network [OSTI]

    Vermont, University of

    Gemstone mining as a development cluster: A study of Brazil's emerald mines Jose Antonio Puppim de Oliveira a,n , Saleem H. Ali b,1 a United Nations University Institute of Advanced Studies (UNU-IAS), 6F scale mining Cluster Social upgrade Local development Latin America Brazil a b s t r a c t For many

  7. EVALUATION OF ROOF BOLTING REQUIREMENTS BASED ON IN-MINE BOLTER DRILLING

    SciTech Connect (OSTI)

    Syd S. Peng

    2002-07-15

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal, potash, salt etc. In fact, all U.S. underground coal mine entries are roof-bolted as required by law. However, roof falls still occur frequently in the roof bolted entries. The two possible reasons are: the lack of knowledge of and technology to detect the roof geological conditions in advance of mining, and lack of roof bolting design criteria for modern roof bolting systems. This research is to develop a method for predicting the roof geology and stability condition in real time during roof bolting operation. Based on such information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. Field tests have been performed in two underground coal mines in this quarter. It also found from the tests that the non-drilling thrust and torque should be deducted from the acquired drilling data. The non-drilling torque is actually higher than that is used to overcome the shear strength is proportional to the rotation rate.

  8. Improved design of room and pillar coal mining. Final technical report, October 1, 1978-March 31, 1982

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1982-06-30

    The objective of this research grant was to improve upon the design of roof spans and coal pillars in a coal mining technique known as room-and-pillar mining. Essentially, the project consisted of three aspects: determination of stable roof spans; determination of the strength of coal pillars; and determination of safety factors for room-and-pillar coal mining conditions in the United States. The study included a critical review of the available pillar design formulas as well as the design methods for selecting stable roof spans. Three novel approaches were utilized: (1) the petite sismique technique was assessed for possible determination of coal pillar deformability; this was the first use of this technique in the United States since its development in France; (2) the Geomechanics Classification was extended for determination of safe roof spans in room-and-pillar coal mining; and (3) a national survey of the current design practice as well as of the stable and failed coal pillars and roof spans was performed with the aim of determining factors of safety in room-and-pillar coal mining. Research investigations included field studies, laboratory testing and analytical computer simulations. The final outcome of the project is a proposal for a design code for room-and-pillar coal mining in the United States. In the course of this research, seven publications were prepared and three M.S. theses were completed. Practical applications of this research are discussed.

  9. Impact of cost constraints on aesthetic ranking following Target Value Design exercises 

    E-Print Network [OSTI]

    Rybkowski, Zofia K.; Munankami, Manish; Gottipati, Udaya; Lavy, Sarel; Ferná ndez-Solis, Jose

    2011-07-13

    stream_source_info RYBKOWSKI et al._Impact of cost constraints on aesthetic ranking following TVD exercises.pdf.txt stream_content_type text/plain stream_size 23905 Content-Encoding UTF-8 stream_name RYBKOWSKI et al._Impact of cost... constraints on aesthetic ranking following TVD exercises.pdf.txt Content-Type text/plain; charset=UTF-8 IMPACT OF COST CONSTRAINTS ON AESTHETIC RANKING FOLLOWING TARGET VALUE DESIGN EXERCISES Zofia K. Rybkowski1, Manish Munankami2, Udaya...

  10. Equation of motion for incompressible mixed fluid driven by evaporation and its application to online rankings

    E-Print Network [OSTI]

    Kumiko Hattori; Tetsuya Hattori

    2008-05-17

    We give a unique classical solution to initial value problem for a system of partial differential equations for the densities of components of one dimensional incompressible fluid mixture driven by evaporation. Motivated by the known fact that the solution appears as an infinite particle limit of stochastic ranking processes, which is a simple stochastic model of time evolutions of e.g., Amazon Sales Ranks, we collected data from the web and performed statistical fits to our formula. The results suggest that the fluid equations and solutions may have an application in the analysis of online rankings.

  11. Low-rank separated representation surrogates of high-dimensional stochastic functions: Application in Bayesian inference

    SciTech Connect (OSTI)

    Validi, AbdoulAhad, E-mail: validiab@msu.edu

    2014-03-01

    This study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to decrease the computational cost of Markov Chain Monte Carlo simulations in Bayesian inference. The surrogate model is constructed via a regularized alternative least-square regression with Tikhonov regularization using a roughening matrix computing the gradient of the solution, in conjunction with a perturbation-based error indicator to detect optimal model complexities. The model approximates a vector of a continuous solution at discrete values of a physical variable. The required number of random realizations to achieve a successful approximation linearly depends on the function dimensionality. The computational cost of the model construction is quadratic in the number of random inputs, which potentially tackles the curse of dimensionality in high-dimensional stochastic functions. Furthermore, this vector-valued separated representation-based model, in comparison to the available scalar-valued case, leads to a significant reduction in the cost of approximation by an order of magnitude equal to the vector size. The performance of the method is studied through its application to three numerical examples including a 41-dimensional elliptic PDE and a 21-dimensional cavity flow.

  12. EXTENDED PARKING REQUEST COLORADO SCHOOL OF MINES

    E-Print Network [OSTI]

    to Parking Services and vehicle must be parked in Lot A. T This option is not available for visitorsEXTENDED PARKING REQUEST COLORADO SCHOOL OF MINES FACILITIES MANAGEMENT DEPT PARKING SERVICES to Parking Services allows a CSM student or employee to leave his/her vehicle within the campus boundaries

  13. Data Mining Approaches to Criminal Career Analysis

    E-Print Network [OSTI]

    Kosters, Walter

    University, The Netherlands Email: tcocx@liacs.nl Abstract-- Narrative reports and criminal records that contains all criminal records from the last decade. From this database, our tool extracts the fourData Mining Approaches to Criminal Career Analysis Jeroen S. de Bruin, Tim K. Cocx, Walter A

  14. Process Mining Framework for Software Processes

    E-Print Network [OSTI]

    van der Aalst, Wil

    Process Mining Framework for Software Processes Vladimir Rubin1,2 , Christian W. G¨unther1 , Wil M.P. van der Aalst1 , Ekkart Kindler2 , Boudewijn F. van Dongen1 , and Wilhelm Sch¨afer2 1 Eindhoven University of Paderborn, Paderborn, Germany {vroubine,kindler,wilhelm}@uni-paderborn.de Abstract. Software

  15. New Mexico Bureau Mines and Mineral

    E-Print Network [OSTI]

    Dunbar, Nelia W.

    Number22 - 1999 New Mexico Bureau of Mines and Mineral Resources a division of Nei~, Mexico Tech forsandblasting five times! ThisIssue Earth Briefs-Better age estimates on some New Mexico volcanic rocks Have You) NewMexico's Most Wanted Minera Is (pageT) Magnification of microscopic miner- als and glass (page 8

  16. WWW-2005 Tutorial Web Content Mining

    E-Print Network [OSTI]

    Hu, Wen-Chen

    of surface Web and deep Web. Surface Web: pages that can be browsed using a browser. Deep Web: databasesWWW-2005 Tutorial Web Content Mining Bing Liu Department of Computer Science University of Illinois at Chicago (UIC) liub@cs.uic.edu http://www.cs.uic.edu/~liub The 14th International World Wide Web Conference

  17. Motor technology for mining applications advances

    SciTech Connect (OSTI)

    Fiscor, S.

    2009-08-15

    AC motors are steadily replacing DC motors in mining and mineral processing equipment, requiring less maintenance. The permanent magnet rotor, or the synchronous motor, has enabled Blador to introduce a line of cooling tower motors. Synchronous motors are soon likely to take over from the induction motor. 1 photo.

  18. of Mining & www.mge.arizona.edu

    E-Print Network [OSTI]

    Holliday, Vance T.

    .621.8330 mgedept@email.arizona.edu ONLINE GRADUATE CERTIFICATE PROGRAM 15 UNITS YOUR CAREER GEOMECHANICS #12;GEOMECHANICS Department of Mining & Geological Engineering www.mge.arizona.edu Contact: John Kemeny Kemeny@email.arizona.edu REQUIRED COURSES (12 units) MNE 527 Geomechanics (3 units) MNE 580 Rock Fracture Mechanics (3 units) MNE

  19. Statistics W4240: Data Mining Columbia University

    E-Print Network [OSTI]

    Columbia University

    Statistics W4240: Data Mining Columbia University Spring, 2014 Version: January 30, 2014 Massive data collection and storage capacities have led to new statistical questions: · Amazon collects and collects user click-through data on those stories. How should it organize the stories based on the click

  20. Rare Earth Element Mines, Deposits, and Occurrences

    E-Print Network [OSTI]

    Torgersen, Christian

    Rare Earth Element Mines, Deposits, and Occurrences by Greta J. Orris1 and Richard I. Grauch2 Open Table 1. Rare earth mineral codes and associated mineral names.......................................................................................6 Table 2. Non-rare earth mineral codes and associated mineral names