National Library of Energy BETA

Sample records for longwall mining method

  1. 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...

  2. 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.

  3. 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.

  4. 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.

  5. Methane drainage with horizontal boreholes in advance of longwall mining: an analysis. Final report

    SciTech Connect (OSTI)

    Gabello, D.P.; Felts, L.L.; Hayoz, F.P.

    1981-05-01

    The US Department of Energy (DOE) Morgantown Energy Technology Center has implemented a comprehensive program to demonstrate the technical and economic viability of coalbed methane as an energy resource. The program is directed toward solution of technical and institutional problems impeding the recovery and use of large quantities of methane contained in the nation's minable and unminable coalbeds. Conducted in direct support of the DOE Methane Recovery from Coalbeds Project, this study analyzes the economic aspects of a horizontal borehole methane recovery system integrated as part of a longwall mine operation. It establishes relationships between methane selling price and annual mine production, methane production rate, and the methane drainage system capital investment. Results are encouraging, indicating that an annual coal production increase of approximately eight percent would offset all associated drainage costs over the range of methane production rates and capital investments considered.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. Determination of immediate roof at mines of the Kutahya-Omerler coal basin, Turkey

    SciTech Connect (OSTI)

    G. Konak; T. Onargan; C.O. Aksoy; H. Kose; C. Tatar; C. Pamukcu [Dokuz Eylul University, Izmir (Turkey). Department of Mining Engineering

    2006-01-15

    The estimation of the relations between excavation height, longwall advance rate, convergence around a longwall in the roof-soil direction, and load distribution on support is reported, that are of specific importance for selecting support type. The principal attention is focused on determination of the immediate roof height that depends on the mobility characteristics of overlying rocks and governs mainly the stopping convergence and load intensity on the support. Numerical modeling, laboratory and field experiments are undertaken in this study, which included evaluation of composition and physicomechanical properties of rocks, assessment of stress-strain state of rock mass and of the immediate roof height, measurements of disintegration and bulking factor of overlying rocks, convergence of stopping floor and roof, and loads on hydraulic legs of supports. The study parameters obtained by different methods for the Omerler Mine are presented.

  12. 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

  13. 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.

  14. 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

  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. 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.

  19. 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

  20. 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.

  1. Tomographic imaging of rock conditions ahead of mining using the shearer as a seismic source - A feasibility study

    SciTech Connect (OSTI)

    Luo, X.; King, A.; Van de Werken, M. [CSIRO, Brisbane, Qld. (Australia)

    2009-11-15

    Roof falls due to poor rock conditions in a coal longwall panel may threaten miner's life and cause significant interruption to mine production. There has been a requirement for technologies that are capable of imaging the rock conditions in longwall coal mining, ahead of the working face and without any interruption to production. A feasibility study was carried out to investigate the characteristics of seismic signals generated by the continuous coal cutter (shearer) and recorded by geophone arrays deployed ahead of the working face, for the purpose of seismic tomographic imaging of roof strata condition before mining. Two experiments were conducted at a coal mine using two arrays of geophones. The experiments have demonstrated that the longwall shearer generates strong and low-frequency (similar to 40 Hz) seismic energy that can be adequately detected by geophones deployed in shallow boreholes along the roadways as far as 300 m from the face. Using noise filtering and signal cross correlation techniques, the seismic arrival times associated with the shearer cutting can be reliably determined. It has proved the concept that velocity variations ahead of the face can be mapped out using tomographic techniques while mining is in progress.

  2. 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.

  3. 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.

  4. Health-hazard evaluation report MHETA 89-009-1990, Consolidation Coal Company, Humphrey No. 7 Mine, Pentress, West Virginia

    SciTech Connect (OSTI)

    Kullman, G.J.

    1989-09-01

    An evaluation was made of worker exposure to hydraulic fluid used on the longwall-mining operations at Consolidated Coal Company's Humphrey Number 7 Mine, Pentress, West Virginia. Employees were complaining of headache, eye and throat irritation, congestion, and cough. A particular emulsion oil, Solcenic-3A, was used with water in the mine's hydraulic roof-support system. An analysis of the oil indicated the presence of methyl-isobutyl-carbinol (MIBC), dipropylene glycol, and paraffin hydrocarbons. Personal breathing-zone samples for MIBC were collected from all workers on the longwall mining operation during the two days of the visit. All the analysis indicated concentrations of MIBC below the limit of quantification, which was 0.6 parts per million for an 8 hour sample. These levels were well below the exposure recommendations of the Mine Safety and Health Administration. Exposure to MIBC may be occurring through skin contact with oil through hydraulic line leaks, accidents, and maintenance activity on the hydraulic machines. The report concludes that Solcenic-3A oil constituents in air did not pose a health hazard at the time of the survey.

  5. 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...

  6. Seismic signals from underground cavity collapses and other mining-related failures

    SciTech Connect (OSTI)

    Walter, W.R.; Heuze, F.; Dodge, D.

    1997-07-01

    The sudden collapse of man-made underground cavities have generated seismic signals as large as magnitude 5.4. Collapses are just one of the many types of mining associated seismicity including coalbumps and rockbursts which need to be identified and distinguished from potential clandestine nuclear explosions under the recently signed Comprehensive Test Ban Treaty (CTBT). Collapses, coalbumps and rockbursts are of concern for seismically monitoring a CTBT for a number of reasons. First, they can look like explosions when using some seismic discriminant measures, such M{sub s}:m{sub b}, M{sub o}: m{sub b}, regional P/S ratios and depth. Second, underground nuclear explosions themselves produce cavities that might collapse, possibly aiding in the detection of a clandestine event. Finally, because all mine-related events occur in the vicinity of underground cavities, they may come under special scrutiny because of the concern that very large, specially constructed cavities could be used to evasively decouple a clandestine test. For these reasons mine-related seismicity in both active and former mining regions have the potential to be false alarms under a CTBT. We are investigating techniques to identify collapses, either directly via waveform modeling, or indirectly by combining several seismic discriminants. We are also investigating the source mechanisms of coalbumps and collapses to better understand the performance of seismic discriminants for these events. In particular we have found similarities in point source models of some longwall coalbumps, room- and-pillar mine collapses and NTS nuclear explosion cavity collapses. In order to understand coalbumps we are analyzing events from central Utah recorded at regional distances in Utah and Nevada including at the auxiliary station ELK. Some of these have anomalous, explosion- like high frequency P/S ratios. We are combining this new study with results from previous field work done in 1995 at a Colorado long-wall coal mining operation. Similarly to longwall coal mines in Utah and elsewhere, this Colorado mine completely excavates a 3m high coal seam in 250 m wide panels leaving the material above unsupported. The roof material above the excavated seam eventually collapses resulting in seismic events.

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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.

  6. 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

  7. 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.

  8. Young People's Day in Court: Part II 29 April 2014

    E-Print Network [OSTI]

    Hansen, James E.

    -ocean and Arctic drilling, long-wall coal mining, hydro-fracking ­ all practices that will become more invasive

  9. 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

  10. 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...

  11. 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).

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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...

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  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. 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

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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

  18. 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.

  19. 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...

  20. 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

  1. 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

  2. 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...

  3. Please reference as: [Author(s)-of-paper] (2013) [Title-of-paper] in Cleland, K., Fisher, L. & Harley, R. (Eds.) Proceedings of the 19th International Symposium of Electronic Art, ISEA2013, Sydney. http://ses.library.usyd.edu.au/handle/2123/9475 . Page nu

    E-Print Network [OSTI]

    Boyd, Colin

    2013-01-01

    in the landscape. Long-wall mining and coal seam gas fracking in the nearby southern coal fields are of ongoing

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Research at Mines Fiscal Year

    E-Print Network [OSTI]

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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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.

  5. 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, ...

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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.

  13. 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...

  14. 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 ...

  15. 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...

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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.

  1. 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.

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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

  8. 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.

  9. 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

  10. 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

  11. 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.

  12. 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...

  13. 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–

  14. 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:

  15. 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:

  16. 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,

  17. 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

  18. 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.

  19. FIRST BREAK VOL 7, NO 3, MARCH 1989m The risk of encountering 'unexpected geological

    E-Print Network [OSTI]

    ' can have on longwall 'Delft University of Technology, Faculty of Mining and Petroleum Engineering, PO Box 5028, 2600 GA Delft, The Netherlands. mining operations, using examples from British coal- fields

  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. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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...

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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.

  6. 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.

  7. Ground control failures. A pictorial view of case studies

    SciTech Connect (OSTI)

    Peng, S.S.

    2007-07-01

    The book shows, in pictorial views, many forms and/or stages of types of failures in mines, for instance, cutter, roof falls, and cribs. In each case, the year of occurrence is stated in the beginning so that the environment or technological background under which it occurred are reflected. The narrative than begins with the mining and geological conditions, followed by a description of the ground control problems and recommended solutions and results, if any. The sections cover failure of pillars, roof falls, longwall, roof bolting, multiple-seam mining, floor heave, longwall, flooding and weathering of coal, old workings, and shortwall and thin-seam plow longwall.

  8. 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.

  9. 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!

  10. 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...

  11. 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.

  12. 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

  13. 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

  14. 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.

  15. 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...

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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.

  5. 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.

  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: May 11 (Geophysics) On Original Copies Dr. Terence K. Young Professor and Head Department of Geophysics Approved

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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

  11. 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

  12. 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, ...

  13. 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.

  14. 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.

  15. 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.

  16. 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

  17. 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...

  18. 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...

  19. 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...

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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:

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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.

  13. 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.

  14. 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  

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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...

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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,

  13. 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

  14. 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.

  15. 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

  16. 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,

  17. 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.

  18. 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

  19. 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

  20. 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

  1. 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...

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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...

  12. 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.

  13. 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

  14. 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

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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.

  16. 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.

  17. 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 -...

  18. 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 ...

  19. 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

  20. 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

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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.

  9. 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

  10. 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

  11. 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

  12. New Metrics for Blog Mining Brian Ulicnya

    E-Print Network [OSTI]

    Baclawski, Kenneth B.

    New Metrics for Blog Mining Brian Ulicnya , Ken Baclawskia , Amy Magnusb a VIStology, Inc., 5, Suite 325 , Arlington, VA 22203 ABSTRACT Blogs represent an important new arena for knowledge discovery-human) information sources monitoring important local and global events, and other blogs, for items of interest upon

  13. Bornholm Web Mining Techniques rup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Bornholm Web Mining Techniques Finn A Æ rup Nielsen Informatics and Mathematical Modelling; Focused crawling #15; Counting links #15; Size of web-sites #15; PostScript/PDF conversion #15; Generation and Giles, 1998). \\[...] no engine indexes more than about 16% of the web" (Lawrence and Giles, 1999). #15

  14. Bornholm Cases in Web Mining rup Nielsen

    E-Print Network [OSTI]

    Nielsen, Finn Årup

    Bornholm Cases in Web Mining Finn A Æ rup Nielsen Informatics and Mathematical Modelling Technical A Æ rup Nielsen, IMM, DTU April 7, 2002 OVERVIEW #15; PubMed & ISI #15; ResearchIndex. Web; DEADLINER. Special topic search engine. #15; Webgames. #15; Modeling the growth of the web. #15; Gene

  15. Generating power with drained coal mine methane

    SciTech Connect (OSTI)

    2005-09-01

    The article describes the three technologies most commonly used for generating electricity from coal mine methane: internal combustion engines, gas turbines, and microturbines. The most critical characteristics and features of these technologies, such as efficiency, output and size are highlighted. 5 refs.

  16. A Survey on Mining Software Survey Presentation

    E-Print Network [OSTI]

    Bae, Doo-Hwan

    · Software Metrics IDEA ! · Easy evaluation / validation · Stimulate idea 13 / 39 #12;Research Trend (3/4) 14 ­ Apache and Mozilla 2005 Impact of Software Engineering Research on the Practice of SCM 2007 RepresentingA Survey on Mining Software Archives Survey Presentation Jin Ung, Oh ­ 2007.07.11 #12;Contents

  17. Export Control Regulations Colorado School of Mines

    E-Print Network [OSTI]

    1 Export Control Regulations Colorado School of Mines Office of Research Administration Ralph from whom much of this material was adapted #12;2 What are Export Controls? US laws that regulate and information for reasons of foreign policy and national security. #12;3 US Export Controls and Responsible

  18. Mining the Social Web Asmelash Teka Hadgu

    E-Print Network [OSTI]

    Nejdl, Wolfgang

    ;Web 2.0 Figure: Social Media billboard2 2 http://bit.ly/10216Jy L3S Web Science 3 #12;Twitter3;Introduction Definition1 Web Science studies the vast information network of people, communities, organizationsMining the Social Web Asmelash Teka Hadgu teka@l3s.de L3S Research Center June 3, 2014 #12;Outline

  19. Changing the World by Mining the

    E-Print Network [OSTI]

    Linhardt, Robert J.

    Changing the World by Mining the Materials Genome Curt Breneman Dean of Science April 7, 2015 #12 Technology Cast Iron Mirror Early Hemp Paper Early Ore of Iron Compass Image Credit: National Museum of Korea, Seoul #12;www.rpi.edu Iron Age: 1200 B.C. ­ 800 A.D. Iron Farm Tools Iron Helmet Horse Trappings Image

  20. Data Mining and Knowledge Petra Kralj Novak

    E-Print Network [OSTI]

    Novak, Petra Kralj

    1 Data Mining and Knowledge Discovery Petra Kralj Novak Petra.Kralj.Novak@ijs.si 2011/11/08 #12 in Weka ­ Discussion about seminars and exam ­ Hands on Weka 3 · 2011/12/20: Written exam, seminar. Divide the set S into subsets Si according to the values of A 8. Repeat steps 1-7 on each Si Test

  1. Mining Gold from your Cooling Water System 

    E-Print Network [OSTI]

    Mendez, T.

    2007-01-01

    stream_source_info ESL-IE-07-05-25.pdf.txt stream_content_type text/plain stream_size 6756 Content-Encoding ISO-8859-1 stream_name ESL-IE-07-05-25.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Mining Gold from your...

  2. DTN Communication in a Mine Philip Ginzboorg

    E-Print Network [OSTI]

    Ott, Jörg

    there may be between ten to a thousand pieces of mining equipment ­ drills, loaders, roof bolters and other and personnel. In some development stages (e.g., production drilling) the min- ing equipment may be out of reach of the operation, which in turn may lower operational costs and improve exploitation of the ore. Technologies

  3. RESEARCH, DEVELOPMENT, AND EXPERIMENTAL TELECOMMUNICATIONS TECHNOLOGY

    SciTech Connect (OSTI)

    Zvi H. Meiksin

    2002-07-01

    A temporary installation of Transtek's in-mine communications system in the Lake Lynn mine was used in the mine rescue training programs offered by NIOSH in April and May 2002. We developed and implemented a software program that permits point-to-point data transmission through our in-mine system. We also developed a wireless data transceiver for use in a PLC (programmed logic controller) to remotely control long-wall mining equipment.

  4. Expert systems - An overview and a mining example

    SciTech Connect (OSTI)

    Kohler, J.L.; Ramani, R.V.; Bieniawski, Z.T.

    1986-01-01

    The knowledge-based expert systems (KBES) is a potentially powerful technique to the mining engineer in traditional areas of mine design and operations, as well as in the emerging areas of mining automation and robotics. Since KBES is still experimental in many respects, caution must be exercised as this ''high tech'' tool is developed and applied to mining. The objective of this paper is to demystify expert systems by introducing the elements of KBES, discussing the strengths and weaknesses, and identifying some areas of application in mining, based on the authors' experiences.

  5. Reduction of fire hazards on large mining equipment

    SciTech Connect (OSTI)

    Maria I. De Rosa

    2008-09-15

    Although standards and regulations are in place to prevent large mining equipment fires, recent analyses of mine accident data show that mining equipment fires still occur with alarming frequency and grave consequences, particularly at all surface mines and in underground metal/nonmetal mines. Recently technological advances in fire protection, combined with the statistical data on equipment fires, led NIOSH to reinvestigate this and to improve operator safety. NIOSH demonstrated that newly developed technologies, such as dual cab fire inerting systems and engine compartment fire barriers, can greatly enhance operator safety and lessen the damage of property during large mobile equipment fires. 10 refs., 5 figs.

  6. Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi) @ EACL 2014, pages 6468, Gothenburg, Sweden, April 26-30 2014. c 2014 Association for Computational Linguistics

    E-Print Network [OSTI]

    in bio- medical research. Here we present a method based on the ICD10 system for text-mining of Danish on the ICD10 classification system for a Scandinavian language; Danish, which performs well and is relatively Linguistics Negation scope and spelling variation for text-mining of Danish electronic patient records Cecilia

  7. Mining Geoscience 2005 EAGE 67

    E-Print Network [OSTI]

    Oldenburg, Douglas W.

    associated with the deposit. In oil exploration, conductivity can be a direct hydrocarbon indicator. One. This opens the door for enhanced applications and for re-assessment of how data are collected and interpreted conductivity. Finite vol- ume methods are used to discretize Maxwell's equations, along with suitable boundary

  8. Assessing Fossil and New Carbon in Reclaimed Mined Soils

    SciTech Connect (OSTI)

    Rattan Lal; David Ussiri

    2008-09-30

    Soil organic carbon (SOC) pool in the reclaimed minesoils (RMS) is the mixture of coal C originating from mining and reclamation activities and recent plant-derived organic carbon (OC). Accurate estimates of OC pools and sequestration rates in the RMS are limited by lack of standard and cost-effective method for determination of coal-C concentration. The main objective of this project was to develop and test analytical procedures for quantifying pool sizes of coal-derived C in RMS and to partition organic C in RMS into coal-derived and newly deposited SOC fractions. Analysis of soil and coal artificial mixtures indicated that the {Delta}{sup 13}C method developed was very effective in estimating coal C added in the mixtures, especially soils under C4 plants. However, most of the reclaimed sites in Ohio are under C3 plants with range of {Delta}{sup 13}C signal falling within ranges of coal. The wide range of {Delta}{sup 13}C signal observed in minesoils, (i.e. -26 to -30 for plants and -23 to -26 for coal) limits the ability of this approach to be used for southeast Ohio minesoils. This method is applicable for reclaimed prime farm land under long term corn or corn soybean rotation. Chemi-thermal method was very effective in quantifying coal-C fraction in both soil-coal artificial mixtures and minesoils. The recovery of coal-C from the mixture ranged from 93 to 100% of coal. Cross-validation of chemi-thermal method with radiocarbon analysis revealed that chemi-thermal method was as effective as radiocarbon analysis in quantifying coal-C in RMS. Coal C determined after chemi-thermal treatment of samples was highly correlated with coal C concentration calculated by radiocarbon activity (r{sup 2} = 0.95, P < 0.01). Therefore, both radiocarbon activity and chemi-thermal method were effective in estimating coal carbon concentration in reclaimed minesoils of southeast Ohio. Overall, both coal-C and recent OC fraction exhibited high spatial and depth variation, suggesting that approaches used to obtain representative samples in undisturbed soils may not be effective in RMS sites. Analysis of coal-C fraction in RMS indicated that the contribution of coal C to SOC increased with increase in soil depth, accounting for up to 92% of SOC in the sub-soil. Our data indicated that land use and land management practices plays significant role in enhancing SOC sequestration in reclaimed mined lands.

  9. Identification of lead chemical form in mine waste materials by X-ray absorption spectroscopy

    SciTech Connect (OSTI)

    Taga, Raijeli L.; Ng, Jack [University of Queensland, National Research Centre for Environmental Toxicology (EnTox), Brisbane, 4108 (Australia); Zheng Jiajia; Huynh, Trang; Noller, Barry [University of Queensland, Centre for Mined Land Rehabilitation, Brisbane, 4072 (Australia); Harris, Hugh H. [School of Chemistry and Physics, University of Adelaide, Adelaide, 5005 (Australia)

    2010-06-23

    X-ray absorption spectroscopy (XAS) provides a direct means for measuring lead chemical forms in complex samples. In this study, XAS was used to identify the presence of plumbojarosite (PbFe{sub 6}(SO{sub 4}){sub 4}(OH){sub 12}) by lead L{sub 3}-edge XANES spectra in mine waste from a small gold mining operation in Fiji. The presence of plumbojarosite in tailings was confirmed by XRD but XANES gave better resolution. The potential for human uptake of Pb from tailings was measured using a physiologically based extract test (PBET), an in-vitro bioaccessibility (BAc) method. The BAc of Pb was 55%. Particle size distribution of tailings indicated that 40% of PM{sub 10} particulates exist which could be a potential risk for respiratory effects via the inhalation route. Food items collected in the proximity of the mine site had lead concentrations which exceed food standard guidelines. Lead within the mining lease exceeded sediment guidelines. The results from this study are used to investigate exposure pathways via ingestion and inhalation for potential risk exposure pathways of Pb in that locality. The highest Pb concentration in soil and tailings was 25,839 mg/kg, exceeding the Australian National Environment Protection Measure (NEPM) soil health investigation levels.

  10. The Mining Life : : A Transnational History of Race and Family in the U.S.-Mexico Borderlands, 1890-1965

    E-Print Network [OSTI]

    Maiorana, Juliette Charlie

    for, Mr. McKinney, Mexican Mining Department, Mexico, City,and Relationships in the Mining West: Central Arizona, 1863-American Institute of Mining Engineers, 1941. Reisler, Mark.

  11. Comparative genomics in acid mine drainage biofilm communities reveals metabolic and structural differentiation of co-occurring archaea

    E-Print Network [OSTI]

    2013-01-01

    genomics in acid mine drainage biofilm communities revealsextreme acidophiles from acid mine drainage and industrialacidophile important in acid mine drainage. Science 2000,

  12. WRI 50: Strategies for Cooling Electric Generating Facilities Utilizing Mine Water

    SciTech Connect (OSTI)

    Joseph J. Donovan; Brenden Duffy; Bruce R. Leavitt; James Stiles; Tamara Vandivort; Paul Ziemkiewicz

    2004-11-01

    Power generation and water consumption are inextricably linked. Because of this relationship DOE/NETL has funded a competitive research and development initiative to address this relationship. This report is part of that initiative and is in response to DOE/NETL solicitation DE-PS26-03NT41719-0. Thermal electric power generation requires large volumes of water to cool spent steam at the end of the turbine cycle. The required volumes are such that new plant siting is increasingly dependent on the availability of cooling circuit water. Even in the eastern U.S., large rivers such as the Monongahela may no longer be able to support additional, large power stations due to subscription of flow to existing plants, industrial, municipal and navigational requirements. Earlier studies conducted by West Virginia University (WV 132, WV 173 phase I, WV 173 Phase II, WV 173 Phase III, and WV 173 Phase IV in review) have identified that a large potential water resource resides in flooded, abandoned coal mines in the Pittsburgh Coal Basin, and likely elsewhere in the region and nation. This study evaluates the technical and economic potential of the Pittsburgh Coal Basin water source to supply new power plants with cooling water. Two approaches for supplying new power plants were evaluated. Type A employs mine water in conventional, evaporative cooling towers. Type B utilizes earth-coupled cooling with flooded underground mines as the principal heat sink for the power plant reject heat load. Existing mine discharges in the Pittsburgh Coal Basin were evaluated for flow and water quality. Based on this analysis, eight sites were identified where mine water could supply cooling water to a power plant. Three of these sites were employed for pre-engineering design and cost analysis of a Type A water supply system, including mine water collection, treatment, and delivery. This method was also applied to a ''base case'' river-source power plant, for comparison. Mine-water system cost estimates were then compared to the base-case river source estimate. We found that the use of net-alkaline mine water would under current economic conditions be competitive with a river-source in a comparable-size water cooling system. On the other hand, utilization of net acidic water would be higher in operating cost than the river system by 12 percent. This does not account for any environmental benefits that would accrue due to the treatment of acid mine drainage, in many locations an existing public liability. We also found it likely that widespread adoption of mine-water utilization for power plant cooling will require resolution of potential liability and mine-water ownership issues. In summary, Type A mine-water utilization for power plant cooling is considered a strong option for meeting water needs of new plant in selected areas. Analysis of the thermal and water handling requirements for a 600 megawatt power plant indicated that Type B earth coupled cooling would not be feasible for a power plant of this size. It was determined that Type B cooling would be possible, under the right conditions, for power plants of 200 megawatts or less. Based on this finding the feasibility of a 200 megawatt facility was evaluated. A series of mines were identified where a Type B earth-coupled 200 megawatt power plant cooling system might be feasible. Two water handling scenarios were designed to distribute heated power-plant water throughout the mines. Costs were developed for two different pumping scenarios employing a once-through power-plant cooling circuit. Thermal and groundwater flow simulation models were used to simulate the effect of hot water injection into the mine under both pumping strategies and to calculate the return-water temperature over the design life of a plant. Based on these models, staged increases in required mine-water pumping rates are projected to be part of the design, due to gradual heating and loss of heat-sink efficiency of the rock sequence above the mines. Utilizing pumping strategy No.1 (two mines) capital costs were 25 percent lower a

  13. Decommissioning of uranium mines in Canada

    SciTech Connect (OSTI)

    Zgola, M.B. [Atomic Energy Control Board, Ottawa, Ontario (Canada)

    1996-12-31

    The Atomic Energy Control Board (AECB) regulates the nuclear fuel cycle in Canada. This paper overviews the nature and function of the AECB; discusses its {open_quotes}site-specific{close_quotes} approach to regulating the decommissioning of uranium mining facilities; catalogues the location and status of inactive uranium tailings impoundments in Canada; and, summarizes the decommissioning work at the licensed Elliot Lake tailings impoundments.

  14. Cutting sound enhancement system for mining machines

    DOE Patents [OSTI]

    Leigh, Michael C. (Coal Center, PA); Kwitowski, August J. (Clairton, PA)

    1992-01-01

    A cutting sound enhancement system (10) for transmitting an audible signal from the cutting head (101) of a piece of mine machinery (100) to an operator at a remote station (200), wherein, the operator using a headphone unit (14) can monitor the difference in sounds being made solely by the cutting head (101) to determine the location of the roof, floor, and walls of a coal seam (50).

  15. Mining Data Bases and Data Streams Carlo Zaniolo and Hetal Thakkar

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Chapter 5 Mining Data Bases and Data Streams Carlo Zaniolo and Hetal Thakkar Computer Science mining represents an emerging technology area of great importance to homeland security. Data mining and applications of data mining and the information systems recently developed for supporting the mining process

  16. THE ROLE OF GROUND TRUTH IN IMPROVED IDENTIFICATION OF MINING EXPLOSION SIGNALS

    E-Print Network [OSTI]

    Stump, Brian W.

    observations from within the mine. Mines in the Iron Range (IR) of Minnesota, the Powder River Basin (PRBTHE ROLE OF GROUND TRUTH IN IMPROVED IDENTIFICATION OF MINING EXPLOSION SIGNALS UTILIZATION effects; (3) Development of in-mine ground truth through mine records or on site instrumentation; (4

  17. Office of Graduate Studies Colorado School of Mines

    E-Print Network [OSTI]

    Office of Graduate Studies Colorado School of Mines 1500 Illinois Street G r a d u a t e B u l l e by Colorado School of Mines, Golden, CO 80401 Address correspondence to: Office of Graduate Studies Colorado t i n 2 0 0 8 - 0 9 C o l o r a d o S c h o o l o f M i n e s 2008-09ColoradoSchoolofMines

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2001-07-15

    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. In this quarter, retrofitting work to build a dedicated roof bolter for this research has been started. A number of numerical methods have been developed to improve the quality of and to analyze the collected drilling parameters. Finite element modeling of roof bolting mechanism is continuing.

  19. Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical Study of SETI@home

    E-Print Network [OSTI]

    Kondo, Derrick

    Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical, these systems are composed of heterogeneous hosts whose individual availability often exhibit different an effective method for discovering subsets of hosts whose availability have similar statistical properties

  20. ORS 517.705 Exploration Permit Regulations for Mining and Mining Claims |

    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 ClaimsOpen

  1. Evaluation of Roof Bolting Requirements Based on In-Mine Roof Bolter Drilling

    SciTech Connect (OSTI)

    Syd S. Peng

    2005-10-01

    Roof bolting is the most popular method for underground openings in the mining industry, especially in the bedded deposits such as coal. 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 this information, roof bolting design criteria for modern roof bolting systems will be developed for implementation in real time. For the prediction of roof geology and stability condition in real time, a micro processor was used and a program developed to monitor and record the drilling parameters of roof bolter. These parameters include feed pressure, feed flow (penetration rate), rotation pressure, rotation rate, vacuum pressure, oil temperature of hydraulic circuit, and signals for controlling machine. From the results of a series of laboratory and underground tests so far, feed pressure is found to be a good indicator for identifying the voids/fractures and estimating the roof rock strength. The method for determining quantitatively the location and the size of void/fracture and estimating the roof rock strength from the drilling parameters of roof bolter was developed. Also, a set of computational rules has been developed for in-mine roof using measured roof drilling parameters and implemented in MRGIS (Mine Roof Geology Information System), a software package developed to allow mine engineers to make use of the large amount of roof drilling parameters for predicting roof geology properties automatically. For the development of roof bolting criteria, finite element models were developed for tensioned and fully grouted bolting designs. Numerical simulations were performed to investigate the mechanisms of modern roof bolting systems including both the tension and fully grouted bolts. Parameters to be studied are: bolt length, bolt spacing, bolt size/strength, grout annulus, in-situ stress condition, overburden depth, and roof geology (massive strata, fractured, and laminated or thinly-bedded). Based on the analysis of the mechanisms of both bolting systems and failure modes of the bolted strata, roof bolting design criteria and programs for modern roof bolting systems were developed. These criterion and/or programs were combined with the MRGIS for use in conjunction with roof bolt installation.

  2. Development Wells At Salt Wells Area (Nevada Bureau of Mines...

    Open Energy Info (EERE)

    Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells...

  3. Ex Parte Communications with Caterpillar Global Mining LLC |...

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

    the proposed energy conservation standards rulemaking would affect above ground mobile mining equipment that would have distribution transformers onboard. Ex Parte Communications...

  4. Colorado School of Mines Graduate Bulletin 2007-08

    E-Print Network [OSTI]

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

  5. Truckee Meadows Community College and Colorado School of Mines...

    Office of Environmental Management (EM)

    School of Mines in Denver, Colorado-demonstrated exceptional rigor in their research and useful interpretation of technical geothermal concepts. Geothermal energy is an important...

  6. international journal of rock mechanics and mining sciences

    E-Print Network [OSTI]

    Structural geologists, mining and civil engineers. .... of the article and to briefly describe the role of the sponsor(s), if any, in study design; in .... Theory/

  7. Abandoned Uranium Mine Technical Services and Cleanup Industry...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Abandoned Uranium Mine Technical Services and Cleanup Industry Day In January 2015, the United States (U.S.) and the Anadarko Litigation Trust ("Litigation Trust") entered into a...

  8. Office of Undergraduate Studies Colorado School of Mines

    E-Print Network [OSTI]

    Office of Undergraduate Studies Colorado School of Mines 1500 Illinois Street U n d e r g r a d u a t e B u l l e t i n 2 0 0 8 - 0 9 C o l o r a d o S c h o o l o f M i n e s 2008-09ColoradoSchoolofMinesUndergraduateBulletin Golden, Colorado 80401 #12;Colorado School of Mines 2008­2009 Undergraduate Bulletin #12;To Mines

  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 ------------------------------ COSTLBL-11490 COST AND SCHEDULE FOR DRILLING AND MININGDevelopment In-Mine Drilling The cost and time required for

  10. Coal Mine Information System Map Viewer The Coal Mine Information System (CMIS) Web site was created to provide online access to maps showing

    E-Print Network [OSTI]

    Polly, David

    . The CMIS Web site allows users to create maps showing the locations of surface and underground coal minesCoal Mine Information System Map Viewer Purpose The Coal Mine Information System (CMIS) Web site was created to provide online access to maps showing locations of coal mines in Indiana. Funding

  11. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, SPECIAL ISSUE ON DATA MINING OF SPEECH, AUDIO AND DIALOG 1 Mining Customer Care Dialogs for ``Daily News''

    E-Print Network [OSTI]

    Volinsky, Chris

    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, SPECIAL ISSUE ON DATA MINING OF SPEECH, AUDIO describes the ``VoiceTone Daily News'' data mining tool for analyzing this information and presenting turns. Index Terms--- speech mining, data mining, spoken dialog systems, dialog success, business

  12. MineBench: A Benchmark Suite for Data Mining Ramanathan Narayanan Berkin Ozis.ikyilmaz Joseph Zambreno Gokhan Memik Alok Choudhary

    E-Print Network [OSTI]

    MineBench: A Benchmark Suite for Data Mining Workloads Ramanathan Narayanan Berkin ¨Ozis.pisharath@intel.com Abstract-- Data mining constitutes an important class of sci- entific and commercial applications. Recent rate of growth of computer systems has led to a sizeable performance gap between data mining systems

  13. A. Kusiak, Non-Traditional Applications of Data Mining, in D. Braha (Ed.), Data Mining for Design and Manufacturing, Kluwer, Boston, MA, 2001, pp. 401-416.

    E-Print Network [OSTI]

    Kusiak, Andrew

    A. Kusiak, Non-Traditional Applications of Data Mining, in D. Braha (Ed.), Data Mining for Design and Manufacturing, Kluwer, Boston, MA, 2001, pp. 401-416. CHAPTER 17 Non-Traditional Applications of Data Mining problem in the latter two application areas. A data mining approach is used for matrix decomposition

  14. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, SPECIAL ISSUE ON DATA MINING OF SPEECH, AUDIO AND DIALOG 1 Mining Customer Care Dialogs for "Daily News"

    E-Print Network [OSTI]

    Volinsky, Chris

    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, SPECIAL ISSUE ON DATA MINING OF SPEECH, AUDIO describes the "VoiceTone Daily News" data mining tool for analyzing this information and presenting turns. Index Terms-- speech mining, data mining, spoken dialog systems, dialog success, business

  15. WITS MINING : DISTINCTLY EXCEPTIONAL As the largest School of Mining Engineering in the English-speaking world, we continue to invest in

    E-Print Network [OSTI]

    Wagner, Stephan

    WITS MINING : DISTINCTLY EXCEPTIONAL As the largest School of Mining Engineering in the English-speaking world, we continue to invest in the knowledge and development of generations of mining engineers - the gems of our future. Wits School of Mining Engineering Prof Fred Cawood Head of School We have Size

  16. Association mining consists of pattern mining and rule generation. The first phase often takes a long time to find all frequent patterns, also including much noise. The

    E-Print Network [OSTI]

    Liang, Huizhi "Elly"

    Association mining consists of pattern mining and rule generation. The first phase often takes consuming activity that can generate many redundant rules. To improve the quality of association mining in databases, this thesis provides a new technique, granule-based association mining, for knowledge discovery

  17. Chapter 3. Volume and Characteristics of Uranium Mine Wastes Uranium has been found and mined in a wide variety of rocks, including sandstone, carbonates1

    E-Print Network [OSTI]

    3-1 Chapter 3. Volume and Characteristics of Uranium Mine Wastes Uranium has been found and mined conventional mining, solution extraction, and milling of uranium, a principal focus of this report is TENORM, or which may need future reclamation. When uranium mining first started, most of the ores were recovered

  18. Colliers in Corsets? Uncovering Stark County's Nineteenth-Century Coal Mining Women

    E-Print Network [OSTI]

    Sampson, Jason

    2012-01-01

    notion of family labor that persisted in the coal mines. InAmerican women first entered the coal mines en masse, theyCounty’s Nineteenth-Century Coal Mining Women According to

  19. The processes of industrial gold mining and inequality: a Ghanaian case study 

    E-Print Network [OSTI]

    Gawor, Natalie

    2011-11-24

    The research examined how inequality manifests itself through the processes of industrial gold mining using a case study of Newmont Mining Corporations’ Ahafo Gold Mine in Ghana. The pursuit of neoliberal development and widespread transnational...

  20. Colliers in Corsets? Uncovering Stark County's Nineteenth-Century Coal Mining Women

    E-Print Network [OSTI]

    Sampson, Jason

    2012-01-01

    Nineteenth-Century Coal Mining Women According to the Uniteddid not enter underground mining until four decades ago. Theis that some women in the mining region of Stark County,

  1. Decentralized spatial data mining for geosensor Patrick Laube and Matt Duckham

    E-Print Network [OSTI]

    Duckham, Matt

    Decentralized spatial data mining for geosensor networks Patrick Laube and Matt Duckham Department data. Conventional spatiotemporal data mining procedures, however, are based on centralized models four strategies for decentralized spatial data mining, illustrating the concept of decentralization

  2. 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 Excerpta323-330. Zeng et al. : Data mining for probes 31. Fung J,testing by applying data mining and common bioinformatics

  3. Mining Time Series Data: Moving from Toy Problems to Realistic Deployments

    E-Print Network [OSTI]

    Hu, Bing

    2013-01-01

    Journal of Data Mining and Knowledge Discovery, pp.349-371,2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.Parameter-Free Spatial Data Mining using MDL,” ICDM, 2005

  4. Developing Efficient Algorithms for Data Mining Large Scale High Dimensional Data

    E-Print Network [OSTI]

    Zakaria, Jesin

    2013-01-01

    need for Time Series Data Mining Benchmarks: a survey andInternational Conference on Data Mining (SDM 2004). E. J.a new primitive for Data Mining,” Proc. ACM SIGKDD, 2009,

  5. Mining Time Series Data: Moving from Toy Problems to Realistic Deployments

    E-Print Network [OSTI]

    Hu, Bing

    2013-01-01

    Conference on Data Mining, 2010 V. Chandola, A. Banerjee,and E. Keogh. “ Querying and Mining of Time Series Data:2 nd Workshop on Temporal Data Mining, 2002 K. Malatesta, S.

  6. Text-mining applied to autoimmune disease research: the Sjögren¿s syndrome knowledge base

    E-Print Network [OSTI]

    Gorr, Sven-Ulrik; Wennblom, Trevor J; Horvath, Steve; Wong, David TW; Michie, Sara A

    2012-01-01

    as: Gorr et al. : Text-mining applied to autoimmune diseaseARTICLE Open Access Text-mining applied to autoimmunein the field, we used text mining to generate the Sjögren’s

  7. Use and analysis of new optimization techniques for decision theory and data mining

    E-Print Network [OSTI]

    Moreno Centeno, Erick

    2010-01-01

    techniques in data mining. Manuscript UC Berkeley, [40] D.Hochbaum showed that data mining problems can be viewed asstudy is a classic data mining problem. i A Dios, mi esposa,

  8. Mining proteomic data to expose protein modifications in Methanosarcina mazei strain Gö1

    E-Print Network [OSTI]

    2015-01-01

    Physiology and Metabolism Mining M. mazei data Blom, N. ,www.frontiersin.org Mining M. mazei data Lemker, T. ,Physiology and Metabolism Mining M. mazei data Wu, J. , and

  9. Ferric hydroxide and ferric hydroxysulfate precipitation by bacteria in an acid mine drainage lagoon

    E-Print Network [OSTI]

    Konhauser, Kurt

    Ferric hydroxide and ferric hydroxysulfate precipitation by bacteria in an acid mine drainage communities growing in an acid mine drainage lagoon sediment has confirmed that microorganisms were also: Ferrihydrite; Ferric hydroxysulfate; Bacteria; Biomineralization; Acid mine drainage Contents 1. Introduction

  10. Restoration Potential of a Mining-Impacted Urban Stream: Horseshoe Branch of Lion Creek, Oakland, CA

    E-Print Network [OSTI]

    Hackenjos, Bethany; Woelfle-Erskine, Cleo; Wood, Jacob

    2010-01-01

    should be removed, or acid mine drainage should be treated.cost of ongoing acid mine drainage, and use those revenueshighly impacted by acid mine drainage and urbanization. Past

  11. WIPP Employee Inducted Into Mine Rescue Hall of Fame - WIPP Teams...

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

    award from Neal Merrifield, administrator for the Mine Safety and Health Administration MetalNon-Metal mines, after Kessler was inducted into the National Mine Rescue Hall of Fame...

  12. Disaster risk management in prospect mining area Blitar district, East Java, using microtremor analysis and ANP (analytical network processing) approach

    SciTech Connect (OSTI)

    Parwatiningtyas, Diyan E-mail: erlinunindra@gmail.com; Ambarsari, Erlin Windia E-mail: erlinunindra@gmail.com; Marlina, Dwi E-mail: erlinunindra@gmail.com; Wiratomo, Yogi E-mail: erlinunindra@gmail.com

    2014-03-24

    Indonesia has a wealth of natural assets is so large to be managed and utilized, either from its own local government and local communities, especially in the mining sector. However, mining activities can change the state of the surface layer of the earth that have a high impact disaster risk. This could threaten the safety and disrupt human life, environmental damage, loss of property, and the psychological impact, sulking to the rule of law no 24 of 2007. That's why we strive to manage and minimize the risk of mine disasters in the region, how to use the method of calculation of Amplification Factor (AF) from the analysis based microtremor sulking Kanai and Nakamura, and decision systems were tested by analysis of ANP. Based on the amplification factor and Analytical Network Processing (ANP) obtained, some points showed instability in the surface layer of a mining area include the site of the TP-7, TP-8, TP-9, TP-10, (Birowo2). If in terms of structure, location indicated unstable due to have a sloping surface layer, resulting in the occurrence of landslides and earthquake risk is high. In the meantime, other areas of the mine site can be said to be a stable area.

  13. A stochastic optimization approach to mine truck C. H. TA{, J. V. KRESTA{, J. F. FORBES*{ and H. J. MARQUEZ

    E-Print Network [OSTI]

    Marquez, Horacio J.

    ; Chance-constrained; Oilsand mining 1. Introduction In the open-pit mining industry, trucks and shovels

  14. Mines and Quarries: The Coal Mines (Precautions against Inflammable Dust) Order, 1956 

    E-Print Network [OSTI]

    Her Majesty's Stationary Office

    1957-01-01

    This order is made under the Mines and Quarries Act, 1954, s. 190, which empowers the Minister of Fuel and Power to re-enact (to the extent to which they could be enacted in regulations made under the Act and subject to ...

  15. Mines and Quarries: The Coal and Other Mines (Safety -Lamps and Lighting) Order, 1956 

    E-Print Network [OSTI]

    Her Majesty's Stationary Office

    1960-01-01

    This order is made under the Mines and Quarries Act, 1954, s. 190, which empowers the Minister of Fuel and Power to re-enact (to the extent to which they could be enacted in regulations made under the Act and subject to ...

  16. ISO 14000: Impact on mining and reclamation

    SciTech Connect (OSTI)

    Russell, K.E. [Lloyd, Gosselink, Fowler, Blevins & Mathews, Austin, TX (United States); Tipton, S.G. [North American Coal Corp., Dallas, TX (United States)

    1997-12-31

    Environmental regulation and compliance in the mining and reclamation industry is in a position to take advantage of the ISO 14000 standards being developed by the International Organization for Standardization. The purpose of this paper is to provide environmental managers in the mining and reclamation industry with a basic understanding of the ISO 14000 environmental standards which have traditionally been implemented by conventional manufacturing industries. The paper covers the history of the ISO, its acceptance by industry generally, the ISO 14000 standards being utilized currently and those which are proposed for the future, the benefits associated with implementation and compliance with the standards, and a discussion of ISO 14000 standards` applicability in the mining and reclamation industry. There are seven areas which constitute the ISO 14000 set of standards: (1) Environmental Management Systems; (2) Environmental Auditing; (3) Environmental Labeling; (4) Environmental Performance Evaluation; (5) Life Cycle Assessment; (6) Terms and Definitions; and (7) Environmental Aspects in Product Standards. A commitment to regulatory compliance and sound environmental practices along with ISO certification can potentially provide greater access to capital because lenders will view an environmentally healthy organization as a better risk, it can provide defenses against products liability or personal injury lawsuits, and protect against criminal liability. Implementation of ISO standards can help avoid risks associated with business practices, ensure early detection of potential regulatory violations, and hence ensure company profitability by avoiding discovery of a violation by state and/or federal agencies. It can demonstrate a sincere commitment to regulatory compliance which may in turn provide reduced oversight by state and federal regulatory agencies.

  17. Mining the phytomicrobiome to understand how bacterial coinoculations enhance plant growth

    E-Print Network [OSTI]

    2015-01-01

    Faull KF and Hirsch AM (2015) Mining the phytomicrobiome todoi: 10.3389/fpls.2015.00784 Mining the phytomicrobiome to

  18. Mining data on usage of electronic nicotine delivery systems (ENDS) from YouTube videos

    E-Print Network [OSTI]

    Talbot, Prue

    2013-01-01

    by group.bmj.com Research paper Mining data on usage of2013 - Published by group.bmj.com Mining data on usage of

  19. International Conference on Ground Control in Mining During the last 25 years, technological advancement and

    E-Print Network [OSTI]

    plan, coal structure characteristics, rate of mining, overburden lithology, and the type of surface environmental considerations in the permitting, planning, and monitoring of coal mining operations. Surface

  20. Inflatable partition for fighting mine fires

    DOE Patents [OSTI]

    Conti, Ronald S. (Pittsburgh, PA); Lazzara, Charles P. (Pittsburgh, PA)

    1995-01-01

    The seal is a lightweight, inflatable, bag which may be inflated by a portable air generator and is used to seal a burning mine passage. A collapsible tube-like aperture extends through the seal and allows passage of high expansion foam through the seal in a feed tube. The foam fills the passageway and extinguishes the fire. In other embodiments, the feed tubes incorporate means to prevent collapse of the aperture. In these embodiments a shroud connects the feed tube to a foam generator. This seal allows creation of a high expansion foam fire fighting barrier even in upward sloping passages.

  1. Options for developing countries in mining development

    SciTech Connect (OSTI)

    Walrond, G.W.; Kumar, R.

    1985-01-01

    This book is a study of the issues that developing countries face in planning and implementing mineral development, taking as case studies Botswana, Sierra Leone, Zambia, Tanzania, Malaysia, Papua New Guinea and the developed states of Quebec and Western Australia. The authors consider the major aspects of the matter including organization and administration; regulation; taxation and surplus distribution; the dynamics of such instruments as royalty, rent resource tax and capital allowances under various cost/price scenarios; and selected mining agreements and their key provisions. They stress throughout the need for foreign investment while maximizing the economic benefits reaped from exhaustible resources.

  2. Atmospheric fogging in underground mine airways

    SciTech Connect (OSTI)

    Gillies, A.D.S.; Schimmelpfennig

    1983-04-01

    Loss of visibility due to the occurrence of atmospheric fogging in underground mine airways can lead to longer travel times and loss of production efficiency, an increase in the frequency of vehicular and foot traffic accidents and difficulty in checking rock surfaces for instability and loose material. Where hot and humid surface air meets colder underground air, conditions for fog formation may be present. Further, suspended particulate matter from diesel exhausts or stoping operations together with slow movement of air along passageways may contribute to formation. This study describes an investigation being undertaken with the cooperation of Kennecott's Ozark Lead Co. to identify causes of the problem.

  3. Acid mine water aeration and treatment system

    DOE Patents [OSTI]

    Ackman, Terry E. (Finleyville, PA); Place, John M. (Bethel Park, PA)

    1987-01-01

    An in-line system is provided for treating acid mine drainage which basically comprises the combination of a jet pump (or pumps) and a static mixer. The jet pump entrains air into the acid waste water using a Venturi effect so as to provide aeration of the waste water while further aeration is provided by the helical vanes of the static mixer. A neutralizing agent is injected into the suction chamber of the jet pump and the static mixer is formed by plural sections offset by 90 degrees.

  4. WIPP Receives Top Mine Safety Award

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAboutXuRod Hunt (208) 386-52542 12 BONNEVILLE POWERStillTop Mine

  5. Simbol Mining Corp | 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:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbH Jump to: navigation,ShowSikesSilvanSimbol Mining

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2002-01-15

    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. A new mechanical approach to estimate rock strengths using the acquired drilling parameters has been proposed. This approach takes a number of important factors, that have never been studied in the previous researches, into the considerations. Good results have been shown using the new approach on the testing data.

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2001-10-15

    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. The retrofitting works for a dedicated roof bolter for this research has been completed. The laboratory tests performed using this machine on simulated roof blocks have been conducted. The analysis performed on the testing data showed promising signs to detect the rock interface, fractures, as well as the rock types. The other tasks were progressing as planned.

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2002-04-15

    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 laboratory tests have been performed in this quarter. The analysis performed on the testing data showed: (1) abnormal rotational accelerations can be used as the indicator of the rock interfaces, and (2) the sharp drops of drilling thrust and torque agree well with the locations of fractures.

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2003-07-15

    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. In this quarter, the field, theoretical and programming works have been performed toward achieving the research goals set in the proposal. The selected site and the field testing plan enabled us to test all three aspects of roof geological features. The development of the data interpretation methodologies and the geology mapping computer program have also been preceding well.

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

    SciTech Connect (OSTI)

    Syd S. Peng

    2005-01-15

    In this quarter, the field, theoretical and programming works have been performed toward achieving the research goals set in the proposal. The main accomplishments in this quarter included: (1) one more field test has been conducted in an underground coal mine, (2) optimization studies of the control parameters have been conducted, (3) method to use torque to thrust ratio as indicator of rock relative hardness has also been explored, and (4) about 98% of the development work for the roof geology mapping program, MRGIS, has completed, (5) A real time roof geology mapping system for roof bolters in limestone mine, including a special version of the geology mapping program and hardware, has already been verified to perform very well in underground production condition.

  11. Underground physics without underground labs: large detectors in solution-mined salt caverns

    E-Print Network [OSTI]

    Benjamin Monreal

    2014-09-30

    A number of current physics topics, including long-baseline neutrino physics, proton decay searches, and supernova neutrino searches, hope to someday construct huge (50 kiloton to megaton) particle detectors in shielded, underground sites. With today's practices, this requires the costly excavation and stabilization of large rooms in mines. In this paper, we propose utilizing the caverns created by the solution mining of salt. The challenge is that such caverns must be filled with pressurized fluid and do not admit human access. We sketch some possible methods of installing familiar detector technologies in a salt cavern under these constraints. Some of the detectors discussed are also suitable for deep-sea experiments, discussed briefly. These sketches appear challenging but feasible, and appear to force few major compromises on detector capabilities. This scheme offers avenues for enormous cost savings on future detector megaprojects.

  12. Underground physics without underground labs: large detectors in solution-mined salt caverns

    E-Print Network [OSTI]

    Monreal, Benjamin

    2014-01-01

    A number of current physics topics, including long-baseline neutrino physics, proton decay searches, and supernova neutrino searches, hope to someday construct huge (50 kiloton to megaton) particle detectors in shielded, underground sites. With today's practices, this requires the costly excavation and stabilization of large rooms in mines. In this paper, we propose utilizing the caverns created by the solution mining of salt. The challenge is that such caverns must be filled with pressurized fluid and do not admit human access. We sketch some possible methods of installing familiar detector technologies in a salt cavern under these constraints. Some of the detectors discussed are also suitable for deep-sea experiments, discussed briefly. These sketches appear challenging but feasible, and appear to force few major compromises on detector capabilities. This scheme offers avenues for enormous cost savings on future detector megaprojects.

  13. A Business Intelligence Model to Predict Bankruptcy using Financial Domain Ontology with Association Rule Mining Algorithm

    E-Print Network [OSTI]

    Martin, A; Venkatesan, Dr V Prasanna

    2011-01-01

    Today in every organization financial analysis provides the basis for understanding and evaluating the results of business operations and delivering how well a business is doing. This means that the organizations can control the operational activities primarily related to corporate finance. One way that doing this is by analysis of bankruptcy prediction. This paper develops an ontological model from financial information of an organization by analyzing the Semantics of the financial statement of a business. One of the best bankruptcy prediction models is Altman Z-score model. Altman Z-score method uses financial rations to predict bankruptcy. From the financial ontological model the relation between financial data is discovered by using data mining algorithm. By combining financial domain ontological model with association rule mining algorithm and Zscore model a new business intelligence model is developed to predict the bankruptcy.

  14. Jet-engine-based units for cleaning transport media and thawing frozen soil at mining, metallurgical, and transportation facilities

    SciTech Connect (OSTI)

    Khechuev, Y.D.

    2008-01-15

    In recent years, it has become much more difficult to deal with the adhesion and freezing of moist overburden or soil during mining and transport operations due to the increase in the volume of the various materials being mined and transported - coal, ore, fluxes, structural materials, etc. The most productive and effective methods to deal with the sticking and freezing of soil and rock are gas dynamic methods. These methods employ high-speed jets of hot gases from jet engines and can be 15-30 times more productive than mechanical methods and machinery. Proceeding on the basis of calculations, completed studies, and field tests, the Gortekhtrans Department of Research Institute for Problems of the Kursk Magnetic Anomaly (NIIKMA) has developed several highly efficient units that employ this technology.

  15. Cleaning Web Pages for Effective Web Content Mining

    E-Print Network [OSTI]

    Ezeife, Christie

    Cleaning Web Pages for Effective Web Content Mining Jing Li and C.I. Ezeife School of Computer://www.cs.uwindsor.ca/cezeife Abstract. Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit web- page organization applications (e.g., keyword-based search engines

  16. MINING VENTILATION CONTROL: A NEW INDUSTRIAL CASE FOR WIRELESS AUTOMATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    MINING VENTILATION CONTROL: A NEW INDUSTRIAL CASE FOR WIRELESS AUTOMATION E. Witrant1, A. D- scribe a new industrial case on wireless automation, for a large scale system with high environmental- provements. Indeed, one of the first objectives of mod- ern mining industry is to fulfill ecological

  17. Chile-Japan Joint Workshop for Non-ferrous Mining

    E-Print Network [OSTI]

    Tokyo, University of

    Chile-Japan Joint Workshop for Non-ferrous Mining and Smelting Institute of Industrial Science, e of Industrial Science, e University of Tokyo International Research Center for Sustainable Materials (IRCSM), Institute of Industrial Science, e University of Tokyo Organizing units JX Nippon Mining & Metals

  18. An Outlook on Semantic Business Process Mining and Monitoring

    E-Print Network [OSTI]

    van der Aalst, Wil

    An Outlook on Semantic Business Process Mining and Monitoring A.K. Alves de Medeiros1 , C-of-the-art in analysis techniques. In this paper we present an outlook on the opportunities and challenges on semantic Springer-Verlag Berlin Heidelberg 2007 #12;An Outlook on Semantic Business Process Mining and Monitoring

  19. Mining the Home Environment Diane J. Cook and Narayanan Krishnan

    E-Print Network [OSTI]

    Cook, Diane J.

    is a smart home. In a smart home, computer software plays the role of an intelligent agent that perceives mining smart home data and offer ideas for continued research. 2. Smart Home Data One reason whyMining the Home Environment Diane J. Cook and Narayanan Krishnan Washington State University

  20. A Novel, Web-Driven Continuous Mining Steven J. Schafrik

    E-Print Network [OSTI]

    A Novel, Web-Driven Continuous Mining Simulator By Steven J. Schafrik and Michael Karmis Department geometry of operations as well as other constraints. This paper presents WebConSim, a newly developed, Web underground and open-pit mining operations. OBJECTIVES AND DESIGN OF THE NEW WEB- BASED SIMULATOR One

  1. ACG Practical Rock Mechanics and Ground Support in Mining Courses

    E-Print Network [OSTI]

    Tobar, Michael

    CENTRE FOR GEOMECHANICS Ph: +61 8 6488 3300 Fax: +61 8 6488 1130 info for Geomechanics. Practical Rock Mechanics (Introduction) Short Course 28­29 July 2014 Course objectives This course is designed to develop specific underground mining geomechanics competencies for mine geologists

  2. Music Data Mining: An Introduction Tao Li and Lei Li

    E-Print Network [OSTI]

    Li, Tao

    Music Data Mining: An Introduction Tao Li and Lei Li October 17, 2010 #12;2 #12;Contents 1 Introduction 5 1.1 Music Data Sources . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2 An Introduction and Algorithms . . . . . . . . . . . . . 11 1.3 Music Data Mining

  3. A Hybrid Approach for Mining Maximal Hyperclique Patterns Yaochun Huang

    E-Print Network [OSTI]

    Xiong, Hui

    than standard maximal frequent pattern mining algorithms, particularly at low levels of support- nificance of an association rule. Standard association-rule mining algorithms have the 1This work was partially supported by NSF grant # ACI-0305567. The content of this work does not necessarily reflect

  4. Mining writeprints from anonymous e-mails for forensic investigation

    E-Print Network [OSTI]

    Fung, Benjamin C. M.

    University, Montreal, Quebec, Canada H3G 1M8 a r t i c l e i n f o Article history: Received 18 December 2009Mining writeprints from anonymous e-mails for forensic investigation Farkhund Iqbal*, Hamad to special characteristics of e-mail dataset. In this paper, we focus on the problem of mining the writing

  5. 10 Leveraging the Power of Spatial Data Mining to

    E-Print Network [OSTI]

    Malerba, Donato

    ...................................................................... 261 10.3 INGENS 2.0 Architecture and Spatial Data Model....................................263 10.4 Spatial Data Mining Process in INGENS 2.0.............................................267 10-in-glove fit between GIS and data mining facilities. INGENS 2.0 is a prototype GIS which resorts to emerging

  6. Preprocessing and Mining Web Log Data for Web Personalization

    E-Print Network [OSTI]

    Ruggieri, Salvatore

    Preprocessing and Mining Web Log Data for Web Personalization M. Baglioni1 , U. Ferrara2 , A. Romei/26, 56017 S. Martino Ulmiano (PI) Italy ferrara@ksolutions.it Abstract. We describe the web usage mining behaviour of a web site users. The models are inferred from the access logs of a web server by means of data

  7. 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 or Performance from PMU Measurements Final Project Report Project Team Vijay Vittal, Project Leader Trevor Werho Mining to Characterize Signatures of Impending System Events or Performance from PMU Measurements

  8. Isdolomiteefficientinacidminedrainagepassiveremediation? Is dolomite efficient in Acid Mine Drainage

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    de Mina (Acid Mine Drainage AMD) · Bajos valores de pH · Altas concentraciones de SO4, Fe, Al yIsdolomiteefficientinacidminedrainagepassiveremediation? Is dolomite efficient in Acid Mine Drainage passive remediation? Francesco Offeddu Instituto de Diagnóstico Ambiental y Estudios del Agua

  9. An Introduction to the WEKA Data Mining System Zdravko Markov

    E-Print Network [OSTI]

    Markov, Zdravko

    ­ Visualization ­ Mathematics #12;KDnuggets : Polls : Data Mining Tools You Used in 2005 (May 2005) PollData mining/Analytic tools you used in 2005 [376 voters, 860 votes total] · Enterprise-level: (US $10,000 and more) Fair Isaac, IBM, Insightful, KXEN, Oracle, SAS, and SPSS · Department-level: (from $1,000 to $9

  10. Mining Social Relationships from Text Munindar P. Singh

    E-Print Network [OSTI]

    Mining Social Relationships from Text Munindar P. Singh (Joint work with Xibin Gao, Anup Kalia, Zhe Zhang) Department of Computer Science North Carolina State University Raleigh, NC 27695, USA singh@ncsu.edu April 2014 c Singh (NCSU) Mining Social Relationships from Text April 2014 1 / 20 #12;Overview: Studies

  11. Mining Simulation Metrics for Failure Triage in Regression Testing

    E-Print Network [OSTI]

    Veneris, Andreas

    are grouped by applying data-mining clustering algorithms. Fi- nally, the generated failure clustersMining Simulation Metrics for Failure Triage in Regression Testing Zissis Poulos1 , Andreas Veneris of failures can be exposed. These failures need to be properly grouped and distributed among engineers

  12. Expressive Power of an Algebra For Data Mining TOON CALDERS

    E-Print Network [OSTI]

    Ng, Raymond T.

    Expressive Power of an Algebra For Data Mining TOON CALDERS University of Antwerp, Belgium and LAKS University of Antwerp, Belgium The relational data model has simple and clear foundations on which significant theoretical and systems research has flourished. By contrast, most research on data mining has

  13. Mining the Meaningful Compound Terms from Materialized Faceted Taxonomies

    E-Print Network [OSTI]

    Analyti, Anastasia

    Mining the Meaningful Compound Terms from Materialized Faceted Taxonomies Yannis Tzitzikas1 Anastasia Analyti2 1 Institut d'Informatique, F.U.N.D.P. (University of Namur), Belgium 2 Institute to a faceted taxon- omy. This paper shows how from a materialized faceted taxonomy, we can mine an expression

  14. Mining Frequent Items in a Stream Using Flexible Windows

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Frequent Items in a Stream Using Flexible Windows (Extended Abstract) Toon Calders, Nele Dexters and Bart Goethals University of Antwerp, Belgium firstname.lastname@ua.ac.be Abstract. 1 Introduction Mining frequent items over a stream of items presents interesting new challenges over

  15. On Monotone Data Mining Languages Toon Calders1

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    University of Mons-Hainaut, Belgium jef.wijsen@umh.ac.be Abstract. We present a simple Data Mining Logic (DMLOn Monotone Data Mining Languages Toon Calders1 and Jef Wijsen2 1 Research Assistant of the Fund for Scientific Research ­ Flanders (Belgium) (F.W.O. ­ Vlaanderen), University of Antwerp calders@uia.ua.ac.be 2

  16. Peak-Jumping Frequent Itemset Mining Nele Dexters1

    E-Print Network [OSTI]

    Van Gucht, Dirk

    Peak-Jumping Frequent Itemset Mining Algorithms Nele Dexters1 , Paul W. Purdom2 , and Dirk Van Gucht2 1 Departement Wiskunde-Informatica, Universiteit Antwerpen, Belgium, nele.dexters@ua.ac.be, 2. We analyze algorithms that, under the right circumstances, permit efficient mining for frequent

  17. Statistical Selection of Congruent Subspaces for Mining Attributed Graphs

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Statistical Selection of Congruent Subspaces for Mining Attributed Graphs Patricia Iglesias S (KIT), Germany University of Antwerp, Belgium {patricia.iglesias, emmanuel.mueller, fabian.laforet, fabian.keller, klemens.boehm}@kit.edu Abstract--Current mining algorithms for attributed graphs exploit

  18. Process Mining Manifesto Wil van der Aalst1,2

    E-Print Network [OSTI]

    van der Aalst, Wil

    1 Process Mining Manifesto Wil van der Aalst1,2 , Arya Adriansyah1 , Ana Karla Alves de Medeiros50/Verint, USA 16 Business Process Mining, Australia 17 Business Process Trends, USA 18 Gartner, USA 19 Deloitte and Technology, Korea 40 Cranfield University, UK 41 K.U. Leuven, Belgium 42 Tsinghua University, China 43

  19. Identifying Cross-Cutting Concerns Using Software Repository Mining

    E-Print Network [OSTI]

    Zaidman, Andy

    Identifying Cross-Cutting Concerns Using Software Repository Mining Frank Mulder Software and/or a fee. IWPSE-EVOL'10 September 20-21, 2010 Antwerp, Belgium Copyright 2010 ACM 978 Framework #12;3.2 Tool-chain Structure 3.3 Data Acquisition 3.4 Frequent Itemset Mining 3.4.1 Definition #12

  20. Generalizing Itemset Mining in a Constraint Programming Setting

    E-Print Network [OSTI]

    Boulicaut, Jean-François

    Generalizing Itemset Mining in a Constraint Programming Setting J´er´emy Besson, Jean proposed for finding set patterns in boolean data. This includes popular mining tasks based on Universiteit Leuven, Celestijnenlaan 200A, B-3001 Leuven, Belgium e-mail: tias.guns@cs.kuleuven.be Siegfried

  1. Efficient Pattern Mining of Uncertain Data with Sampling

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Efficient Pattern Mining of Uncertain Data with Sampling Toon Calders1 , Calin Garboni2 , and Bart Goethals2 1 TU Eindhoven, The Netherlands t.calders@tue.nl 2 University of Antwerp, Belgium {calin.garboni,bart.goethals}@ua.ac.be Abstract. Mining frequent itemsets from transactional datasets is a well known problem with good

  2. Mining Frequent Binary Expressions Toon Calders and Jan Paredaens

    E-Print Network [OSTI]

    Antwerpen, Universiteit

    Mining Frequent Binary Expressions Toon Calders and Jan Paredaens Universiteit Antwerpen, Departement Wiskunde-Informatica, Universiteitsplein 1, B-2610 Wilrijk, Belgium. {calders,pareda}@uia.ua.ac.be Abstract. In data mining, searching for frequent patterns is a common basic operation. It forms the basis

  3. Sustained Storage and Transport of Hydraulic Gold Mining Sediment

    E-Print Network [OSTI]

    James, L. Allan

    Sustained Storage and Transport of Hydraulic Gold Mining Sediment in the Bear River, California L- sic model of sediment transport in a symmet- rical wave that is based on hydraulic mining sediment primarily in the Yuba Basin. Sus- tained storage and transport of hydraulic min- ing sediment in the Bear

  4. CAS CS 565, Data Mining Wednesday, September 11, 13

    E-Print Network [OSTI]

    Terzi, Evimaria

    CAS CS 565, Data Mining Wednesday, September 11, 13 #12;Course logistics · Course webpage: ­ http@cs.bu.edu · Office hours: Tues 5pm-6:30pm, Mon 2:00pm-3:30pm (or by appointment) Wednesday, September 11, 13 #12;Topics to be covered · What is data mining? · Distance functions · Finding similar entities

  5. DDDM2007: Domain Driven Data Mining Longbing Cao

    E-Print Network [OSTI]

    Cao, Longbing

    DDDM2007: Domain Driven Data Mining Longbing Cao University of Technology Sydney, Australia lbcao of Technology Sydney, Australia {chengqi,yczhao}@it.uts.edu.au Graham Williams Australian Taxation Office, Australia Graham.Williams@togaware.com ABSTRACT Real-world data mining generally must consider and in- volve

  6. Decline design in underground mines using constrained path optimisation

    E-Print Network [OSTI]

    Wormald, Nick

    of optimising the design of an underground mine decline, so as to minimise the costs associated with infras and costs of a real mine, and is optimised using geo- metric techniques for constrained path optimisation (horizontal drives) that connects the access points (points which must be accessed for drilling and blasting

  7. Reducing roof fall accidents on retreat mining sections

    SciTech Connect (OSTI)

    Mark, C.; Zelanko, J.C. [National Institute for Occupational Safety and Health (NIOSH) (United States). Rock Mechanics Section

    2005-12-15

    Pillar recovery continues to be one of the most hazardous activities in underground mining. Global stability, achieved through proper pillar design, is a necessary prerequisite for safe pillar recovery. Local stability means preventing roof falls in the working area. It is achieved by minimizing the 'risk factors' described in this paper. Roof Control Plans developed at each underground coal mine often address both engineering parameters and human behavior issues. These plans are essential to all mining activities, but nowhere are they more important than in pillar recovery. Pillaring leaves little tolerance for error, and mistakes can be deadly. Roof Control Plans must be carefully drawn up to address site-specific conditions, and then carefully implemented and followed. Miners and foremen involved in pillar extraction should be trained to know and understand the plan prior to beginning retreat mining. More details can be found at www.cdc.gov/niosh/mining/pubs/pdfs/rtrog.pdf. 3 figs.

  8. SkyMine Carbon Mineralization Pilot Project

    SciTech Connect (OSTI)

    Joe Jones; Clive Barton; Mark Clayton; Al Yablonsky; David Legere

    2010-09-30

    This Topical Report addresses accomplishments achieved during Phase 1 of the SkyMine{reg_sign} Carbon Mineralization Pilot Project. The primary objectives of this project are to design, construct, and operate a system to capture CO{sub 2} from a slipstream of flue gas from a commercial coal-fired cement kiln, convert that CO{sub 2} to products having commercial value (i.e., beneficial use), show the economic viability of the CO{sub 2} capture and conversion process, and thereby advance the technology to a point of readiness for commercial scale demonstration and proliferation. The project will also substantiate market opportunities for the technology by sales of chemicals into existing markets, and identify opportunities to improve technology performance and reduce costs at commercial scale. The primary objectives of Phase 1 of the project were to elaborate proven SkyMine{reg_sign} process chemistry to commercial pilot-scale operation and complete the preliminary design ('Reference Plant Design') for the pilot plant to be built and operated in Phase 2. Additionally, during Phase 1, information necessary to inform a DOE determination regarding NEPA requirements for the project was developed, and a comprehensive carbon lifecycle analysis was completed. These items were included in the formal application for funding under Phase 2. All Phase 1 objectives were successfully met on schedule and within budget.

  9. Bioreactor for acid mine drainage control

    DOE Patents [OSTI]

    Zaluski, Marek H. (Butte, MT); Manchester, Kenneth R. (Butte, MT)

    2001-01-01

    A bioreactor for reacting an aqueous heavy metal and sulfate containing mine drainage solution with sulfate reducing bacteria to produce heavy metal sulfides and reduce the sulfuric acid content of the solution. The reactor is an elongated, horizontal trough defining an inlet section and a reaction section. An inlet manifold adjacent the inlet section distributes aqueous mine drainage solution into the inlet section for flow through the inlet section and reaction section. A sulfate reducing bacteria and bacteria nutrient composition in the inlet section provides sulfate reducing bacteria that with the sulfuric acid and heavy metals in the solution to form solid metal sulfides. The sulfate reducing bacteria and bacteria nutrient composition is retained in the cells of a honeycomb structure formed of cellular honeycomb panels mounted in the reactor inlet section. The honeycomb panels extend upwardly in the inlet section at an acute angle with respect to the horizontal. The cells defined in each panel are thereby offset with respect to the honeycomb cells in each adjacent panel in order to define a tortuous path for the flow of the aqueous solution.

  10. SkyMine Carbon Mineralization Pilot Project

    SciTech Connect (OSTI)

    Christenson, Norm; Walters, Jerel

    2014-12-31

    This Topical Report addresses accomplishments achieved during Phase 2b of the SkyMine® Carbon Mineralization Pilot Project. The primary objectives of this project are to design, construct, and operate a system to capture CO2 from a slipstream of flue gas from a commercial coal-fired cement kiln, convert that CO2 to products having commercial value (i.e., beneficial use), show the economic viability of the CO2 capture and conversion process, and thereby advance the technology to the point of readiness for commercial scale demonstration and deployment. The overall process is carbon negative, resulting in mineralization of CO2 that would otherwise be released into the atmosphere. The project will also substantiate market opportunities for the technology by sales of chemicals into existing markets, and identify opportunities to improve technology performance and reduce costs at the commercial scale. The project is being conducted in two phases. The primary objectives of Phase 1 were to evaluate proven SkyMine® process chemistry for commercial pilot-scale operation and complete the preliminary design for the pilot plant to be built and operated in Phase 2, complete a NEPA evaluation, and develop a comprehensive carbon life cycle analysis. The objective of Phase 2b was to build the pilot plant to be operated and tested in Phase 2c.

  11. CARBON SEQUESTRATION ON SURFACE MINE LANDS

    SciTech Connect (OSTI)

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

    2003-10-30

    The 2002-2003 Department of Energy plantings amounted to 164 acres containing 111,520 tree seedlings in eastern and western Kentucky. Data gathered on these trees included an inventory to determine survival of all planted species. A sub-sample of seedlings was selected to assess the height and diameter of individual species of seedlings established. Additional efforts involved collection of soil sample and litter samples, analysis of herbaceous ground cover from vegetation clip plots and leaf area on each tree species, and development of tissue collections. All areas were sampled for penetration resistance, penetration depth (or depth to refusal), and bulk density at various depths. Rain fall events and flow rates were recorded. The water quality of runoff samples involved the determination of total and settleable solids and particle size distribution. A study was initiated that will focus on the colonization of small mammals from forest edges to various areas located on reclaimed surface mines. This effort will provide a better understanding of the role small mammals and birds have in the establishment of plant communities on mine lands that will be useful in developing and improving reclamation techniques.

  12. A li i f W l iA li i f W l iApplication of Wavelets inApplication of Wavelets in PrivacyPrivacy--preserving Data Miningpreserving Data MiningPrivacyPrivacy preserving Data Miningpreserving Data Mining

    E-Print Network [OSTI]

    Zhang, Jun

    Privacy--preserving Data Miningpreserving Data MiningPrivacyPrivacy preserving Data Miningpreserving Data Mining Jun Zhang in Data Mining AnalysisChallenges in Data Mining Analysis I d i i li i d iIn data mining applications, etc #12;Collaborative Data Mining AnalysisCollaborative Data Mining AnalysisCollaborative Data Mining

  13. Aquatic Ecosystem Enhancement at Mountaintop Mining Sites Symposium

    SciTech Connect (OSTI)

    Black, D. Courtney; Lawson, Peter; Morgan, John; Maggard, Randy; Schor, Horst; Powell, Rocky; Kirk, Ed. J.

    2000-01-12

    Welcome to this symposium which is part of the ongoing effort to prepare an Environmental Impact Statement (EIS) regarding mountaintop mining and valley fills. The EIS is being prepared by the U.S. Environmental Protection Agency, U.S. Army Corps of Engineers, U.S. Office of Surface Mining, and U.S. Fish and Wildlife Service, in cooperation with the State of West Virginia. Aquatic Ecosystem Enhancement (AEE) at mountaintop mining sites is one of fourteen technical areas identified for study by the EIS Interagency Steering Committee. Three goals were identified in the AEE Work Plan: 1. Assess mining and reclamation practices to show how mining operations might be carried out in a way that minimizes adverse impacts to streams and other environmental resources and to local communities. Clarify economic and technical constraints and benefits. 2. Help citizens clarify choices by showing whether there are affordable ways to enhance existing mining, reclamation, mitigation processes and/or procedures. 3. Ide identify data needed to improve environmental evaluation and design of mining projects to protect the environment. Today’s symposium was proposed in the AEE Team Work Plans but coordinated planning for the event began September 15, 1999 when representatives from coal industry, environmental groups and government regulators met in Morgantown. The meeting participants worked with a facilitator from the Canaan Valley Institute to outline plans for the symposium. Several teams were formed to carry out the plans we outlined in the meeting.

  14. Stability analysis of a backfilled room-and-pillar mine

    SciTech Connect (OSTI)

    Tesarik, D.R.; Seymour, J.B.; Yanske, T.R.; McKibbin, R.W.

    1995-12-31

    Displacement and stress changes in cemented backfill and ore pillars at the Buick Mine, near Boss, MO, were monitored by engineers from the US Bureau of Mines and The Doe Run Co., St. Louis, MO. A test area in this room-and-pillar mine was backfilled to provide support when remnant ore pillars were mined. Objectives of this research were to evaluate the effect of backfill on mine stability, observe backfill conditions during pillar removal, and calibrate a numerical model to be used to design other areas of the mine. Relative vertical displacements in the backfill were measured with embedment strain gauges and vertical extensometers. Other types of instruments used were earth pressure cells (to identify loading trends in the backfill), borehole extensometers (to measure relative displacement changes in the mine roof and support pillars), and biaxial stressmeters (to measure stress changes in several support pillars and abutments). Two- and three-dimensional numeric codes were used to model the study area. With information from these codes and the installed instruments, two failed pillars were identified and rock mass properties were estimated.

  15. Profiling microbial communities in manganese remediation systems treating coal mine1 Dominique L. Chaput1

    E-Print Network [OSTI]

    Burgos, William

    1 Profiling microbial communities in manganese remediation systems treating coal mine1 drainage2 3 coal mines can contain extremely high manganese19 levels. Removing this metal is an ongoing challenge Coal mine drainage (CMD) from operating and abandoned mines often contains39 elevated concentrations

  16. LONG-AND SHORT-TERM PRODUCTION SCHEDULING AT LKAB'S KIRUNA MINE

    E-Print Network [OSTI]

    LKAB's Kiruna mine is an underground sublevel caving mine located above the Arctic circle in northern scheduling, underground mining, applications Introduction and Background LKAB's Kiruna mine, located above quantities at four ore post-processing plants, or mills. The ore products are classified according

  17. KDD-2003 Workshop on Data Mining Standards, Services and Platforms (DM-SSP 03)

    E-Print Network [OSTI]

    Grossman, Robert

    KDD-2003 Workshop on Data Mining Standards, Services and Platforms (DM-SSP 03) Robert Grossman National Center for Data Mining, University of Illinois at Chicago and Open Data Partners Chicago, IL mining services based on them. A theme of the workshop was that data mining standards have matured

  18. R and Data Mining: Examples and Case Studies1 2 Yanchang Zhao

    E-Print Network [OSTI]

    St Andrews, University of

    R and Data Mining: Examples and Case Studies1 2 Yanchang Zhao yanchangzhao@gmail.com http://www.RDataMining for Data Mining. #12;Contents List of Figures v List of Tables vii List of Abbreviations ix 1 Introduction 1 1.1 Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1

  19. Using Classification to Evaluate the Output of ConfidenceBased Association Rule Mining

    E-Print Network [OSTI]

    Frank, Eibe

    Using Classification to Evaluate the Output of Confidence­Based Association Rule Mining Stefan Hamilton, New Zealand {mhall, eibe}@cs.waikato.ac.nz Abstract. Association rule mining is a data mining concerning both running time and size of rule sets. 1 Introduction Association rule mining is a widely

  20. A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining

    E-Print Network [OSTI]

    Waldmann, Uwe

    A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining Esther Galbrun1 redescription mining. The goal of geospatial redescription mining is to characterize geospatial areas using two- tial redescription mining is finding bioclimatic niches, i.e. explaining the distribution of species