National Library of Energy BETA

Sample records for hunt ing mining

  1. "Dark Web: Exploring and Min-ing the Dark Side of the Web"

    E-Print Network [OSTI]

    Michelsen, Claus

    Title: "Dark Web: Exploring and Min- ing the Dark Side of the Web" Speaker: Director, Prof will review the emerging research in Terrorism Informatics based on a web mining perspective. Recent progress in the internationally re- nowned Dark Web project will be reviewed, including: deep/dark web spider- ing (web sites

  2. JGI Digital Scavenger Hunt

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

    JGI Digital Scavenger Hunt JGI Digital Scavenger Hunt The NERSC webpages are a great resource for New and Old users, so this is the first stop on the JGI Digital Scavenger Hunt....

  3. Kitty Inglis Jane Harvell

    E-Print Network [OSTI]

    Sussex, University of

    Kitty Inglis Librarian Jane Harvell Head of Library Content Delivery & Digital Strategy (ActingFT, 2PT) Eleanor Craig Digital Content Librarian G7 Library Assistant Systems G3 Library Assistants G) Sally Faith Head of Library Planning & Administration Joanna Ball Head of Library Academic Services

  4. Supernova Hunting with Supercomputers

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

    Supercomputers Supernova Hunting with Supercomputers Berkeley researchers provide "roadmap" and tools for finding and studying Type Ia supernovae in their natural habitat May...

  5. Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS/GRAB Model

    E-Print Network [OSTI]

    Chu, Peter C.

    Acoustic Mine Detection UsingAcoustic Mine Detection Using the Navy' CASS/GRAB Modelthe Navy' CASS hunting component of the U.S. Navy's Mine Hunting and Countermeasure ships. #12;Detection Sonar and MOODS. Global GDEM has a 30'30' resolution U.S. Navy's Operationally important areas contain resolutions

  6. Routine EH& ing and labo

    E-Print Network [OSTI]

    Johnson, Eric E.

    for fication or m atory decom ing of a large contaminati from capita ordinary eme d to, acts of uality analyse sal cost for r ion producin iners unsuita ylinders with k sensitive ch ury oxides ­ es and ashes n cost unlabeled or s EH&S pers e time osal that resu odel, renova spill clean-u ion, sabotag al

  7. 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

  8. TREE TRAILS Tree Scavenger Hunt

    E-Print Network [OSTI]

    TREE TRAILS Tree Scavenger Hunt Group _______ Try to find as many items on this list as you can. Resin is a clear or translucent substance that oozes from trees and other plants. Module 5 #12;

  9. Theoryand Applications Perta in ing to

    E-Print Network [OSTI]

    Simons, Jack

    Part 3 Theoryand Applications Perta in ing to Photochemical Processes Chapters 1-4 treated thermal-state potentlal energy surfaces that play cruclal roles In rate-cletermlnlng processes because the slaw rate mostphotochemlcal processes. Thepurpose ot thlsrevlew Is to tocus attentlon on those aspects ot partlcular exclted

  10. 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

  11. 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

  12. NATIONAL SURVEY OF FISHING AND HUNTING

    E-Print Network [OSTI]

    NATIONAL SURVEY OF FISHING AND HUNTING #12;#12;NATIONAL SURVEY OF FISHING AND HUNTING A REPORT ON THE FIRST NATIONWIDE ^ ^ -. -- ECONOMIC SURVEY OF SPORT FISHING | Q U U AND HUNTING IN THE UNITED STATES, I, Secretary FISH AND WILDLIFE SERVICE John L. Farley, Director Circular 44 For sale by the Superintendent

  13. Ing Arvid Nesheim | 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 View NewTexas: Energy ResourcesOrder at 8, 13 (Vt.Infinifuel Biodiesel JumpInfotilityIng Arvid

  14. 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

  15. 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

  16. 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

  17. 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

  18. Hunting for meteorites in Antarctica

    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 Room NewsInformation CurrentHenry Bellamy, Ph.D.Food Drive HolidayHoursaUSHumanHunting for

  19. Demand for Wildlife Hunting in the Southeastern United States

    E-Print Network [OSTI]

    Gray, Matthew

    1 Demand for Wildlife Hunting in the Southeastern United States Presented by: Neelam C. Poudyal... Number of studies scrutinized demand for wildlife hunting (Ziemer et al. 1980; Miller and Hay,1981). Essential to understand what influences hunting demand. Projecting how the future of wildlife hunting

  20. untitled

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    manufacturing; agriculture, forestry, fishing and hunt- ing; mining including oil and gas extraction; and con- struction. Overall energy use in this sector is largely for process...

  1. Journal of Counter-Ordnance Technology (Fifth International Symposium on Technology and Mine Problem) 1 Acoustic Mine Detection Using the Navy's

    E-Print Network [OSTI]

    Chu, Peter C.

    Problem) 1 Acoustic Mine Detection Using the Navy's CASS/GRAB Model Peter C. Chu, Carlos Cintron, Steven D the Navy's Comprehensive Acoustic Simulation System/Gaussian Ray Bundle (CASS/GRAB) model. Sound speed needs in that region. Index Terms--Acoustic mine hunting, Navy's comprehensive acoustic simulation

  2. 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

  3. 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

  4. LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild

    E-Print Network [OSTI]

    Gong, Shaogang

    LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild Ryan Layne r.d.c.layne@qmul.ac.uk Timothy M. Hospedales t.hospedales@qmul.ac.uk Shaogang Gong s.gong, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD Much re-identification research breaks down into two

  5. Biography U. Düsterloh Degree: PD Dr.- Ing. habil. Institution...

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

    University of Technology. Chair: chair for waste disposal technologies and geomechanics. 1982- 1988 field of study: mining engineer 1989- 1993 PhD work - geomechanical...

  6. 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

  7. Characterization of trace gases measured over Alberta oil sands mining operations: 76 speciated C2-C10 volatile organic compounds (VOCs), CO2, CH4, CO, NO, NO2, NOy, O3 and SO2

    E-Print Network [OSTI]

    2010-01-01

    measured over Alberta oil sands mining operations Soc. , 81(reducing bacteria in oil sands fine tail- ings waste, Can.fine tailings from oil sands processing harbour diverse

  8. The Hunt for the Higgs Boson

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    The Hunt for the Higgs Boson John Conway Univ. of California, Davis Haber-Dine Symposium January 4/files/199001194.pdf ALEPH - Dec. 1989 Search for Higgs boson using first 11k Z Covered the mass range 32, , qq #12;Result: SM Higgs boson excluded at 95% CL in range 32 MeV - 15 GeV I believe

  9. LACEwING: Lessons from a New Moving Group Code

    E-Print Network [OSTI]

    Riedel, Adric R

    2015-01-01

    With all the new discoveries being made about nearby young stars, the ability to find new nearby young stars is as important as ever, and membership identification codes will continue to perform a vital role in scientific research. In the process of creating a new moving group membership identification code - LocAting Constituent mEmbers In Nearby Groups (LACEwING) - we have discovered a few pointers relevant to astronomers trying to use codes like LACEwING to locate young stars.

  10. STEM-ing the Tide | Department of Energy

    Energy Savers [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 DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION JSTEM-ing the Tide STEM-ing the Tide September 29,

  11. InventIngFuture Virginia Tech Research CenterArlington

    E-Print Network [OSTI]

    , and provides seed capital for new university initiatives. #12;buIldInglocatIon and Virginia Tech Research. The new Virginia Tech Research Center will drive greater ingenuity and innovation for both ArlingtonInventIngFuture the Virginia Tech Research Center­Arlington Virginia Tech is an equal opportunity

  12. Investigador Departamento Nazario Ramrez, PhD Ing. Industrial

    E-Print Network [OSTI]

    Gilbes, Fernando

    Ingeniería Agrícola Nazario Ramírez, PhD Ing. Industrial Ciencias Marinas Ciencias Marinas Por segundo año. Morell, PhD Correlate data from electronic databases to ocean measurements Pieter Van der Meer Durante el: Hurricane wind profile model Eric Harmsen, PhD Química Aurelio Mercado Aidalú Joubert, PhD Proyecto: Física

  13. Successful application of promis-ing new technologies is predicated

    E-Print Network [OSTI]

    34 Successful application of promis- ing new technologies is predicated on understanding Fisheries Service, NOAA. Abstract--New technologies can be riddled with unforeseen sources of error and controlling sources of errors. The need to identify sources of error with the development of new fisheries

  14. February 22, 2010 Economic Impact of Mining on Levy County, Florida

    E-Print Network [OSTI]

    Demers, Nora Egan

    Table A.1 Value of Residential and Timber Lands Surrounding Mine Appendix Table A.2 Residential Property Yankeetown and Inglis. Included is a discussion of the demand and existing supply of limerock in the region

  15. Nafeesa Hunt Owens | 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 FOrigin ofAllenDepartmentNYSERDA S ummary ofNafeesa Hunt

  16. Theoretical Summary Lecture for Higgs Hunting 2012 Peskin, Michael...

    Office of Scientific and Technical Information (OSTI)

    HEPPH, HEPTH In this lecture, I review some of the perspectives on the Higgs boson discussed at the Higgs Hunting 2012 Worshop and discuss the short- and...

  17. While the LHC Hunts Higgs, the Jefferson Accelerator Looks to...

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

    popsci.comsciencearticle2012-04while-lhc-hunts-higgs-jefferson-accelerator-looks-illuminate-dark-photons Submitted: Tuesday, April 3...

  18. JLab Guest Lecturer Discusses Hurricane Hunting - By Remote Control...

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

    Guest Lecturer Discusses Hurricane Hunting - By Remote Control On April 14 NEWPORT NEWS, Va., March 2, 2009 - Learn how the National Oceanic and Atmospheric Administration and...

  19. 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

  20. 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

  1. Data Mining Students' Ordinary Handwritten Coursework

    E-Print Network [OSTI]

    Herold, James

    2013-01-01

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

  2. ORISE: Undergraduate Research Experiences - Hayley Hunt

    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 Room NewsInformationJesseworkSURVEY UNIVERSEHow ORISE is MakingScienceOakHistoricalAprilHayley Hunt

  3. 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.

  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. 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.

  6. The grey harvest : hunting wolves in America's Heartland

    E-Print Network [OSTI]

    Knoss, Trent

    2013-01-01

    For centuries, humans killed the grey wolf (canis lupis) out of fear and misunderstanding. By the 1950s, the species had been hunted to brink of extinction within the continental United States save for a small remainder ...

  7. Normal Agricultural Operations and Dove Hunting in Texas 

    E-Print Network [OSTI]

    Redmon, Larry

    2009-06-01

    of Texans to the field each year for the kickoff of the annual fall hunting season. To increase dove harvest, many hunters engage in preseason scouting to determine flyways and bird concentrations over natural feeding areas and water sources. Over... it is the hunter who is responsible for determining whether a field has been seeded legally, hunters need to know and make sure areas they hunt are in accordance with Texas State and Federal laws prohibiting baiting. Hunters can also benefit from understanding...

  8. 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

  9. The Misunderstood Social Activist: A Reexamination of the Plays of William Inge

    E-Print Network [OSTI]

    Woods, Robert

    2013-05-03

    2 The Misunderstood Social Activist: A Reexamination of the Plays of William Inge By Robert Woods © 2013 Robert Woods ALL RIGHTS RESERVED 3 On December 5... the central relationship of the play, between Bo, Inge's by-then-typical brawny, unintellectual male stud, and Cherie, the young woman who has gotten herself into difficulties by giving in to her sexual desires. It is that relationship which Inge uses...

  10. CARTWRIGHT, NANCY, How to Hunt Quantum Causes , Erkenntnis, 35:1/3 (1991:July) p.205 CARTWRIGHT, NANCY, How to Hunt Quantum Causes , Erkenntnis, 35:1/3 (1991:July) p.205

    E-Print Network [OSTI]

    Fitelson, Branden

    CARTWRIGHT, NANCY, How to Hunt Quantum Causes , Erkenntnis, 35:1/3 (1991:July) p.205 #12;CARTWRIGHT, NANCY, How to Hunt Quantum Causes , Erkenntnis, 35:1/3 (1991:July) p.205 #12;CARTWRIGHT, NANCY, How to Hunt Quantum Causes , Erkenntnis, 35:1/3 (1991:July) p.205 #12;CARTWRIGHT, NANCY, How to Hunt Quantum

  11. Jan 6, 1998 HUNTING FOR DIRECT CP VIOLATION IN

    E-Print Network [OSTI]

    Fermilab Experiment E871

    . Due to low energy, it was difficult to produce large samples of hyperons and anti­hyperons to test. Recently, there has been a renewal of interest in hunting for CP asymmetry in strange­baryon decays motivation, recent experimental progress and the prospects for searching for direct CP violation

  12. Mineral Scavenger Hunt 1. CONTRIBUTOR'S NAME: Johnny MacLean

    E-Print Network [OSTI]

    Brewer, Carol

    Mineral Scavenger Hunt 1. CONTRIBUTOR'S NAME: Johnny MacLean 2. NAME OF INQUIRY: Mineral Scavenger from minerals? What are some objects in the classroom that come from minerals? What minerals did these objects come from? b. Ecological Theme(s): Minerals are the building blocks of rocks. Rocks

  13. 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

  14. 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

  15. Franois Barthelat, Ph.D, Ing. Department of Mechanical Engineering Phone: (514) 3986318

    E-Print Network [OSTI]

    Barthelat, Francois

    1 François Barthelat, Ph.D, Ing. Department of Mechanical Engineering Phone: (514 APPOINTMENTS Associate Professor, Mechanical Engineering, McGill University (2012present) Assistant Professor, Mechanical Engineering, McGill University (20062012) Associate Member, Biomedical Engineering

  16. ISIS polarimetry for ING support astronomers Isaac Newton Group of Telescopes

    E-Print Network [OSTI]

    ISIS polarimetry for ING support astronomers Isaac Newton Group of Telescopes Pablo Rodr 0.1 Document history . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 ISIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Setting up ISIS for spectropolarimetry . . . . . . . . . . . . . . . . . . . . . 4 1

  17. Fachgebiet Leistungselektronik und Elektrische Antriebstechnik Prof. Dr.-Ing. J. Bcker

    E-Print Network [OSTI]

    Paderborn, Universität

    Pos.1 Pos.2 iC C R iR u(t) Zum Zeitpunkt t = 0 werde der Schalter S von Position 1 in Position 2 Elektrische Antriebstechnik Prof. Dr.-Ing. J. Böcker Pos.2 12T1T t0T 13T Schalter- stellung Pos.1 12T1T t0T 13 und Elektrische Antriebstechnik Prof. Dr.-Ing. J. Böcker Aufgabe 4: RL-Reihenschaltung S U0 Pos.1 Pos

  18. 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

  19. EXaMINE -Experimentation of a Monitoring and Control System for Managing Vulnerabilities of the European

    E-Print Network [OSTI]

    Wehenkel, Louis

    EXaMINE - Experimentation of a Monitoring and Control System for Managing Vulnerabilities). The general objective of the project is to design, prototype and test novel monitor- ing systems supporting-border energy trade. A system with unlimited ca- pacity of interconnection between State, Regional or even Zonal

  20. A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    every device in a building. The ensu- ing computational problem is to disaggregate total energy us- ageA Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential Sustainable Ecosystems Research Group, HP Labs, Palo Alto, CA 94304 Abstract Non-intrusive appliance load

  1. 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

  2. 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...

  3. A review of "“The Temple” mit einer deutschen Versübersetzung." by Inge Leimberg ed. George Herbert 

    E-Print Network [OSTI]

    Bill Engel

    2002-01-01

    Herbert. ?The Temple? mit einer deutschen Vers?bersetzung. Ed. Inge Leimberg. M?nster, New York, Munich, Berlin: Waxmann Verlag, 2002. xx + 473 pp. 39,00 EURO. Review by BILL ENGEL (NASHVILLE, TENNESSEE). Seventeenth-century scholars will be delighted... and instructed by Inge Leimberg?s facing-page translation of the 1633 Cambridge edition of The Temple. The notes alone will amply reward any reader of German (403-44). Not every poem is glossed, however, for Leimberg has carefully selected what is in need...

  4. A Place of His Own: Inge's "The Tiny Closet" as Outside Sexual and Political Orders

    E-Print Network [OSTI]

    Warren, Brian; Hernandez, Teresa

    2013-05-03

    mainstream society. Homosexuality, which is merely implied by the tenant’s hat making, makes Mr. Newbold an outcast and a “creature” (Inge 64) outside of social acceptance. As Mrs. Crosby screams “Hats! Hats! Hats! With flowers on them” with disbelief, Mrs... “big four” full-length plays (Come Back, Little Sheba; Picnic; Bus Stop; and The Dark at the Top of the Stairs) were beginning to establish his greatness as a playwright. Inge famously developed one of his one-acts, People in the Wind, into the full...

  5. Water Quality Protection and Management Prof. Dr.-Ing. habil. Herwig Lehmann

    E-Print Network [OSTI]

    Rotation and Land Preparation easures 1. Farm Ponds 2. Water Harvesting Measures 1. Checkdam/Reservoir 2Water Quality Protection and Management Prof. Dr.-Ing. habil. Herwig Lehmann University of Hannover Use & Land Cover TopographyTopography Semi arid/Sub- humid Climatic Watershed Quantitative Water

  6. Prof. Ing. Alessandro A.Golkar, PhD Skolkovo Institute of Science and Technology

    E-Print Network [OSTI]

    Architecture for Large-Scale Infrastructures; Space Systems, Small Satellite Technology. OTHER CURRENTProf. Ing. Alessandro A.Golkar, PhD Skolkovo Institute of Science and Technology 100 Novaya Ulitsa and Technology (Skoltech) in Moscow, Russian Federation, a private university opened in collaboration with MIT

  7. CAD BASED DRILLING USING CONVENTIONAL TWIST DRILLS PANAGIOTIS KYRATSIS*, Dr. Ing. NIKOLAOS BILALIS**, Dr. VASILIS

    E-Print Network [OSTI]

    Aristomenis, Antoniadis

    CAD BASED DRILLING USING CONVENTIONAL TWIST DRILLS PANAGIOTIS KYRATSIS*, Dr. Ing. NIKOLAOS BILALIS, antoniadis@dpem.tuc.gr Abstract: Twist drills are geometrically complex tools, which are used in industry and experimental approaches for drilling simulation. The present paper is based on the ground that the increasing

  8. Department of Power Electronics and Electrical Drives Prof. Dr.Ing. Joachim Bcker

    E-Print Network [OSTI]

    Paderborn, Universität

    Ing. J. Böcker Power Electronics Trial Exam: (Summer Term 2014) Page 3 of 5 Task 2: Buck-Boost converter (25 Points) Figure 2 shows a buck-boost converter. The switches S1 and D1 are assumed to be ideal in continuous conduction mode. Fig.2 : Buck-Boost converter 2.1 Write down the differential equations

  9. Department of Power Electronics and Electrical Drives Prof. Dr. Ing. Joachim Bcker

    E-Print Network [OSTI]

    Paderborn, Universität

    Converter (25 Points) Figure 1 shows a boost converter. The input voltage to the converter is U1 = 8 V Figure 1: Boost converter Note: For questions 1.1 to 1.5, RC can be considered zero. Estimate Drives Prof. Dr. Ing. J. Böcker Power Electronics Final Examination SS 2014 Page 2 of 6 Task 1: Boost

  10. Fachgebiet Leistungselektronik und Elektrische Antriebstechnik Prof. Dr.Ing. Joachim Bcker

    E-Print Network [OSTI]

    Paderborn, Universität

    .01.2014 Test Examination: Mechatronics and Electrical Drives Page 1 of 8 Test Examination: Mechatronics.01.2014 Test Examination: Mechatronics and Electrical Drives Page 2 of 8 Exercise 1: Basic Magnetics (20 Points Elektrische Antriebstechnik Prof. Dr.­Ing. J. Böcker 08.01.2014 Test Examination: Mechatronics and Electrical

  11. Department of Power Electronics and Electrical Drives Prof. Dr.Ing. Joachim Bcker

    E-Print Network [OSTI]

    Paderborn, Universität

    .09.2014 Mechatronics und Electrical Drives SS 2014 Page 1 of 6 Mechatronics and Electrical Drives 03.09.2014 Surname Drives Prof. Dr.­Ing. J. Böcker 03.09.2014 Mechatronics und Electrical Drives SS 2014 Page 2 of 6.09.2014 Mechatronics und Electrical Drives SS 2014 Page 3 of 6 Aufgabe 2: Reluctance motor (18 Points) The profiles

  12. Climate change is not "a problem" wait-ing for "a solution". It is an environ-

    E-Print Network [OSTI]

    Hulme, Mike

    41 Climate change is not "a problem" wait- ing for "a solution". It is an environ- mental, cultural humanity's place on Earth. My new book, Why We Disagree About Climate Change, dissects this idea of climate about it. It also develops a different way of approaching the idea of climate change and of working

  13. NTNU Dr. ing. Thesis 2001:43 Ivar J. Halvorsen Minimum Energy Requirements

    E-Print Network [OSTI]

    Skogestad, Sigurd

    was followed in more detail. My background is from the department of Engineering Cybernetics, NTNU, where I- neer to have a basic understanding of the process behaviour. In process design, chemical engineers Engineering Norwegian University of Science and Technology N-7491 Trondheim, Norway Dr. ing. Thesis 2001

  14. Imaging Ahead of Mining

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  15. Hunting Valley, Ohio: Energy Resources | 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 View NewTexas: Energy Resources JumpNewTexas: EnergyHunterdon County, NewHunting Valley, Ohio:

  16. Hunts Point, Washington: Energy Resources | 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 View NewTexas: Energy Resources JumpNewTexas: EnergyHunterdon County,Huntley, Illinois:Hunts Point,

  17. 2014-2015 HUNTING GUIDE TO INDIAN BAYOU WELCOME TO INDIAN BAYOU

    E-Print Network [OSTI]

    US Army Corps of Engineers

    , crossbows, or other weapons are prohibited except during designated area hunts. Hunters must have firearms in a vessel under mechanical power. Loaded weapons are not allowed within 100 feet of designated ATV trails the Port Barre office for more information. GENERAL REGULATIONS Hunting regulations are designed to protect

  18. NAME: John F. Hunt eRA COMMONS USER NAME: JFHUNT

    E-Print Network [OSTI]

    Tong, Liang

    neutron scattering. J. Mol. Biol. 273:1004-1019 (doi:10.1006/jmbi.1997.1330). PMID:9367787 12. J.F. Hunt.F. Hunt, M.B. Mixon, and A.M. Berghuis. (1998) AUTO_XPL:a UNIX shell script system to sequence X- PLOR.J Thomas. (2001) Protein solubility and folding monitored in vivo by structural complementation

  19. 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

  20. 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

  1. Analysis and Comparison between War Driving and War Walk-ing in Metropolitan WiFi Radio Maps

    E-Print Network [OSTI]

    Chu, Hao-hua

    Analysis and Comparison between War Driving and War Walk- ing in Metropolitan WiFi Radio Maps Arvin, Hsinchu County, 310, Taiwan arvin@itri.org.tw ABSTRACT War-driving is currently the most widely adopted cost for war driv- ing is smaller than that of war walking, its positional accu- racy is also lower

  2. REVISTA INTERNACIONAL METODOS NUMERICOS EN INGENIERIA Rev. Int. Met. Numer. Ing.

    E-Print Network [OSTI]

    Gomez, Hector

    REVISTA INTERNACIONAL M´ETODOS NUM´ERICOS EN INGENIER´IA Rev. Int. M´et. Num´er. Ing. Un nuevo´ericos en Ingenier´ia, GMNI Departamento de M´etodos Matem´aticos y de Representaci´on E.T.S. de Ingenieros aplicaciones pr´acticas de ingenier´ia el transporte se produce conjuntamente por convecci´on y por difusi

  3. Data Mining and Knowledge Discovery

    E-Print Network [OSTI]

    Novak, Petra Kralj

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

  4. 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

  5. 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.

  6. 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...

  7. 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

  8. ENERGY STAR Webinar: Energy Treasure Hunts: Simple Steps to Finding Energy Savings

    Broader source: Energy.gov [DOE]

    The Energy Treasure Hunt is a dynamic, effective process for identifying savings opportunities, and is a best practice adopted by many ENERGY STAR partners to identify no- and low-cost savings...

  9. Application to Export Electric Energy OE Docket No. EA-357 Hunt...

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

    electric energy to Mexico. Federal Register Notice Vol 74 No 117 EA-357 Hunt Electric Power Marketing, L.L.C. More Documents & Publications PP-89-1 Bangor Hydro-Electric...

  10. COMMUNITY ECOLOGY -ORIGINAL RESEARCH Predator hunting mode influences patterns of prey

    E-Print Network [OSTI]

    Murphy, Shannon

    (active hunting vs. passive web-building) impacted the degree of multichannel omnivory by the two most. In response, prey consumption by the web-building spider shifted toward the grazing web to a much greater

  11. The Essence of American Drama: The Short Plays of William Inge

    E-Print Network [OSTI]

    Wolf, Howard R.

    2012-04-01

    to the World” (441) Lenny and George in Of Mice and Men; Alice Hindman in Sherwood Anderson’s “Adventure” (Winesburg, Ohio); The Lone Ranger and Tonto (?), and many others. One of those other pairs is Ben and the Old Man (the professor, again.... 5. SEXUAL LIBERATION: 1960-2010 It’s hard to know what kinds of plays William Inge might have written and how they would have been received, had he emerged in the 1960’s, not 1950’s. If he had experienced the permissiveness atmosphere of the 1960...

  12. An internship with San Tomas hunting camp Freeport-McMoRan, Inc. 

    E-Print Network [OSTI]

    Huggins, J. Grant

    1986-01-01

    An Internship with San Tomas Hunting Camp Freeport~NoRan, Inc. : A PRCFESSIQRAL PAPER by J. Grant Huggine Submitted to the College of Agriculture of Texas AN University in Rmrtial fulfillment of the requirements for the degree of NASTER GF... AGRICULTURE December 1986 Najor Subject: Wildlife Science Department of Wildife and Fisheries Sciences An Internship with San Tomas Hunting Camp Fr eeport-McMoRan, Inc. by J. Grant Huggins Approved as to style and content by: Wallace G. Klussmann...

  13. Hunting for that one special brick? This is the

    E-Print Network [OSTI]

    Li, Yang V.

    ), 'my family either worked in the coal mine or made brick,'" he said. The brick industry existed in many said, as they were used to create the roads needed to transport steel and other materials. Bricks made) is more cost-effective in the long (run)," he said. #12;According to Boll, while it costs more to lay

  14. 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.

  15. Jozo Dujmovi was born in Dubrovnik, Croatia. He received the Dipl. Ing. degree in electronic and telecommunication engineering and the

    E-Print Network [OSTI]

    Dujmovic, Jozo J.

    Jozo Dujmovi was born in Dubrovnik, Croatia. He received the Dipl. Ing. degree in electronic on Software and Performance (WOSP 2004). #12;Jozo Dujmovi (M'92-SM'97) was born in Dubrovnik, Croatia. He

  16. Histone H3K4me3 Binding Is Required for the DNA Repair and Apoptotic Activities of ING1 Tumor

    E-Print Network [OSTI]

    Verkhusha, Vladislav V.

    of growth 1 (ING1) is implicated in oncogenesis, DNA damage repair, and apoptosis. Mutations within the ING11) is a member of the recently discovered family of tumor suppressors implicated in oncogenesis

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. Research at Mines Fiscal Year

    E-Print Network [OSTI]

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

  4. 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

  5. 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.

  6. 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, ...

  7. 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

  8. Efficient Algorithms for High Dimensional Data Mining

    E-Print Network [OSTI]

    Rakthanmanon, Thanawin

    2012-01-01

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

  9. Data Mining Historical Manuscripts and Culture Artifacts

    E-Print Network [OSTI]

    Zhu, Qiang

    2011-01-01

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

  10. Mining Test Cases To Improve Software Maintenance

    E-Print Network [OSTI]

    Ziftci, Celal

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

  11. Internet Usage Mining Using Random Forests

    E-Print Network [OSTI]

    Liu, Xuening

    2013-01-01

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

  12. DTC DATA MINING CONSORTIUM MEMBERSHIP BENEFITS

    E-Print Network [OSTI]

    Minnesota, University of

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

  13. Changing Patterns of Rangeland Use: Functional Characteristics of the Economics and Operations of Fee Hunting Enterprises in Central and South Texas 

    E-Print Network [OSTI]

    Sultenfuss, Sherry D.

    2010-07-14

    Ranching communities in Texas have long recognized fee hunting as a natural resource with the potential of directly affecting agricultural incomes. Hunting as an industry today, appears to be developing into an economic ...

  14. Local Search and Information Visualization Methods for School Redistricting Marie desJardins, Blazej Bulka, Ryan Carr, Andrew Hunt, Priyang Rathod, and Penny Rheingans

    E-Print Network [OSTI]

    Rheingans, Penny

    Jardins, Blazej Bulka, Ryan Carr, Andrew Hunt, Priyang Rathod, and Penny Rheingans Department of Computer ScienceJardins, Blazej Bulka, Ryan Carr, Andrew Hunt, Priyang Rathod, and Penny Rheingans Department of Computer Science

  15. 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 ...

  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. 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

  18. 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.

  19. 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

  20. 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

  1. Ivey ING Leadership Centre, Toronto, February 19-21, 2013 1 CIFAR-OBI Neuroscience Accelerator workshop: Autism

    E-Print Network [OSTI]

    workshop: Autism Ivey ING Leadership Centre, Toronto, February 19-21, 2013 OnFebruary19-21,2013,CIFAR-longbraindisorder. SESSION I: AUTISM SPECTRUM DISORDER ­ OVERVIEW Session Chair: Sir Michael Rutter, King's College London: Autism spectrum disorder (ASD) is currently reported to occur in roughly 1% of the human population

  2. AC 2011-732: INTEGRATING NASA SCIENCE AND ENGINEERING: US-ING AN INNOVATIVE SOFTWARE CURRICULUM DELIVERY TOOL

    E-Print Network [OSTI]

    AC 2011-732: INTEGRATING NASA SCIENCE AND ENGINEERING: US- ING AN INNOVATIVE SOFTWARE CURRICULUM DELIVERY TOOL TO CREATE A NASA-BASED CURRICULUM Morgan M Hynes, Tufts University Elsa Head, Tufts;Integrating NASA Science and Engineering: Using an Innovative Software Curriculum Delivery Tool to Create

  3. AC 2011-2087: FIRST YEAR ENGINEERING STUDENTS ARE STRIK-INGLY IMPOVERISHED IN THEIR SELF-CONCEPT AS PROFESSIONAL

    E-Print Network [OSTI]

    Guilford, William

    AC 2011-2087: FIRST YEAR ENGINEERING STUDENTS ARE STRIK- INGLY IMPOVERISHED IN THEIR SELF-CONCEPT for education. Brian A Nosek, University of Virginia c American Society for Engineering Education, 2011 #12;First year engineering students are strikingly impoverished in their self-concept as professional

  4. The solar eclipse is indeed a momentous, or at least visually entertain-ing and curious happening in astrology.

    E-Print Network [OSTI]

    Little, John B.

    The solar eclipse is indeed a momentous, or at least visually entertain- ing and curious happening recordings of lunar and solar eclipses. 2 #12;The Dresden Codex was for the Mayans a way to predict eclipses likely that Martin Meinshausen proposed that this data was related to the timing of series of solar

  5. Measurements of the soot emissions and engine operat-ing parameters from a diesel engine during transient op-

    E-Print Network [OSTI]

    Daraio, Chiara

    ABSTRACT Measurements of the soot emissions and engine operat- ing parameters from a diesel engine and are the subject of future research. INTRODUCTION Soot emissions from diesel engines are well known to have gov- erning the emission of particles from diesel engines are becoming ever more stringent. The soot

  6. he application of rapid prototyping (RP) in fabricat-ing nonassembly robotic systems with inserts is pre-

    E-Print Network [OSTI]

    Mavroidis, Constantinos

    T he application of rapid prototyping (RP) in fabricat- ing nonassembly robotic systems with inserts is pre- sented in this article. The development of robotic systems that have all necessary of which are essential steps toward the future goal of automated (robotized) robot design and manufacturing

  7. Seismic technology will be of key importance for evaluat-ing gas-hydrate resources, particularly across the Gulf of

    E-Print Network [OSTI]

    Texas at Austin, University of

    Seismic technology will be of key importance for evaluat- ing gas-hydrate resources, particularly across the Gulf of Mexico (GoM) where many seismic surveys have been acquired and will continue to be acquired. To apply seismic technology to gas-hydrate studies in the gulf in an optimal manner

  8. lthough most people have a common understand-ing of what the Internet is, the expression Future

    E-Print Network [OSTI]

    lthough most people have a common understand- ing of what the Internet is, the expression Future Internet has different meanings depending essen- tially on the expectations about the future connec- tivity of the Internet, are com- plementary, each highlighting different aspects of the expect- ed future network

  9. Salary savings scheme 2011 (ING BANK) 11-10-2010 Personnel and Organization Department 1/1

    E-Print Network [OSTI]

    Franssen, Michael

    Salary savings scheme 2011 (ING BANK) 11-10-2010 Personnel and Organization Department 1!! The undersigned hereby declares not to participate in a "course-of-life" arrangement or a salary savings scheme-year and you can only participate in a salary savings scheme via one employer Alteration as of (enter date

  10. 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

  11. 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

  12. Probabilistic computation of Poiseuille flow velocity fields F. Y. Hunt, J. F. Douglas, and J. Bernal

    E-Print Network [OSTI]

    Bernal, Javier

    the boundaries of fractal drums. I. INTRODUCTION The problem of calculating fluid flow through and around complex of Monte Carlo method. Stokes equation for laminar flow in a long tube of uniform cross sectionProbabilistic computation of Poiseuille flow velocity fields F. Y. Hunt, J. F. Douglas, and J

  13. Electric organ discharge patterns during group hunting by a mormyrid fish

    E-Print Network [OSTI]

    Hopkins, Carl D.

    Electric organ discharge patterns during group hunting by a mormyrid fish Matthew E. Arnegard1 Department of Biology, University of Virginia, Charlottesville, VA 22904, USA Weakly electric fish emit the first opportunity to simultaneously observe freely behaving mormyrid fish and record their EODs. We

  14. CORIOLIS EFFECTS IN MESOSCALE SHALLOW LAYER FLOWS J. C. R. Hunt

    E-Print Network [OSTI]

    Hunt, Julian

    CORIOLIS EFFECTS IN MESOSCALE SHALLOW LAYER FLOWS J. C. R. Hunt ¢¡ £ ,A. Orr , D. Cresswell layer or inversion layer, is developed for idealised and steady, but typical, mesoscale atmospheric estimates for a wide range of perturbed mesoscale flows, especially where the surface conditions change

  15. Hunt, Johnston, Abraham, Rodier, Garry, Putman and de la Barra Comparisons from the Sacramento Model Testbed

    E-Print Network [OSTI]

    Johnson, Robert A.

    Hunt, Johnston, Abraham, Rodier, Garry, Putman and de la Barra 1 Comparisons from the Sacramento Barra Three land use and transport interaction models were applied to the Sacramento, CA region futures. INTRODUCTION Background The Sacramento Model Testbed research program was established to apply

  16. Impacts of the cancellation of the spring bear hunt in Ontario, Canada

    E-Print Network [OSTI]

    Impacts of the cancellation of the spring bear hunt in Ontario, Canada rayNald harvey lemeli, Ontario, Canada, P7B 5E1 harvey.lemelin@lakeheadu.ca Approximately 10 million people and 100,000 black bears (Ursus americanus) live in Ontario, Canada. The highest concentration of black bears (0

  17. Cohort Building Activity Funding Report: Christmas Lights Treasure Hunt On Friday 12th

    E-Print Network [OSTI]

    Cohort Building Activity Funding Report: Christmas Lights Treasure Hunt On Friday 12th DecemberGRAD - http://www1.imperial.ac.uk/stratigrad/) group, participated in a Christmas Themed Team Building Event" along the way! The teams all set off from the Sir Alexander Fleming building together, however, upon

  18. Shielding applications from an untrusted cloud with Haven Andrew Baumann Marcus Peinado Galen Hunt

    E-Print Network [OSTI]

    Chase, Jeffrey S.

    Shielding applications from an untrusted cloud with Haven Andrew Baumann Marcus Peinado Galen Hunt any of their private data. We introduce the notion of shielded execution, which protects operator's OS, VM and firmware). Our prototype, Haven, is the first system to achieve shielded execution

  19. 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.

  20. 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

  1. 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

  2. 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.

  3. 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...

  4. 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–

  5. 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:

  6. 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:

  7. 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,

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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

  14. 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.

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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...

  5. 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

  6. 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

  7. School of Mines Graduate Bulletin

    E-Print Network [OSTI]

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

  8. 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

  9. 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

  10. 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

  11. Data Mining Applied to Acoustic Bird Species Recognition

    E-Print Network [OSTI]

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

    2006-01-01

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

  12. 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

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. Statistical test of Duane-Hunt's law and its comparison with an alternative law

    E-Print Network [OSTI]

    Milan Perkovac

    2010-10-28

    Using Pearson correlation coefficient a statistical analysis of Duane-Hunt and Kulenkampff's measurement results was performed. This analysis reveals that empirically based Duane-Hunt's law is not entirely consistent with the measurement data. The author has theoretically found the action of electromagnetic oscillators, which corresponds to Planck's constant, and also has found an alternative law based on the classical theory. Using the same statistical method, this alternative law is likewise tested, and it is proved that the alternative law is completely in accordance with the measurements. The alternative law gives a relativistic expression for the energy of electromagnetic wave emitted or absorbed by atoms and proves that the empirically derived Planck-Einstein's expression is only valid for relatively low frequencies. Wave equation, which is similar to the Schr\\"odinger equation, and wavelength of the standing electromagnetic wave are also established by the author's analysis. For a relatively low energy this wavelength becomes equal to the de Broglie wavelength. Without any quantum conditions, the author made a formula similar to the Rydberg's formula, which can be applied to the all known atoms, neutrons and some hyperons.

  18. 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.

  19. 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!

  20. 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

  1. 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

  2. "Rabbit Hunt"

    E-Print Network [OSTI]

    Madhavan, N. S.; Chandran, Mini

    2007-01-01

    the author’s home state of Kerala. "Muyalvetta” (Rabbitin the southern states of Kerala and Andhra Pradesh, andon a real life incident in Kerala, the arrest and custodial

  3. "Rabbit Hunt"

    E-Print Network [OSTI]

    Madhavan, N. S.; Chandran, Mini

    2007-01-01

    with chutney ground of chickpeas, coconut and chillies.6 The spine of the Coconut leaf. . 65 Setting aside thethe bunch of ?owers on the coconut tree. 66 “Once. I think

  4. \\IEIl. ,'Hunt. (1983), \\'ot. 8, :"-0. 3, 187-195 A logic-based approach to conceptual data base analysis

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    1983-01-01

    \\IEIl. ,'Hunt. (1983), \\'ot. 8, :"-0. 3, 187-195 A logic-based approach to conceptual data base/erenu; Conceptual clustering, 1. Introduction Data bases are constructed for two major reasons: to keep track of information (data base management); and to learn more about the phenomena which produce the data (data base

  5. 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.

  6. 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...

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. CAS CS 565, Data Mining Course logistics

    E-Print Network [OSTI]

    Terzi, Evimaria

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

  20. Material development in the SI sub 3 N sub 4 system using glass encapsulated Hip'ing

    SciTech Connect (OSTI)

    Corbin, N.D.; Sundberg, G.J.; Siebein, K.N.; Willkens, C.A.; Pujari, V.K.; Rossi, G.A.; Hansen, J.S.; Chang, C.L.; Hammarstrom, J.L.

    1992-04-01

    This report covers a two-year program to develop fully dense Si{sub 3}N{sub 4} matrix SiC whisker composites with enhanced properties over monolithic Si{sub 3}N{sub 4} materials. The primary goal was to develop a composite with a fracture toughness > 10 MPa{radical}m, capable of using high pressure glass encapsulated HIP'ing. Coating methods were developed to apply thin (<150nm) stoichiometric BN layers to SiC whiskers and also to apply a dual coating of SiC over carbon to the whiskers. Fracture toughness of the composites was determined to increase as the quantity of whiskers (or elongated grains) with their axis perpendicular to the crack plane increased. Of the interface compositions evaluated in this effort, carbon was determined to be the most effective for increasing toughness. The highest toughnesses (6.8--7.0 MPa{radical}m) were obtained with uniaxially aligned carbon coated whiskers. There was no evidence of the carbon coating compromising the oxidation resistance of the composites at 1370{degree}C.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Searching for alternative solutions of an indeterminate reason-ing task is an important and necessary step in order to draw

    E-Print Network [OSTI]

    Abstract Searching for alternative solutions of an indeterminate reason- ing task is an important mental representations and processes of the search for alternatives in spatial reasoning, an experiment. The results showed that searching for alternative solutions can be best explained as a revision process

  6. 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.

  7. 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...

  8. Engineering Scaling Requirements for Solid Breeder Blanket Testing A. Ying, S. Sharafat, M. Youssef, J. An, R. Hunt, P. Rainsberry, M. Abdou

    E-Print Network [OSTI]

    Abdou, Mohamed

    Engineering Scaling Requirements for Solid Breeder Blanket Testing A. Ying, S. Sharafat, M. Youssef, J. An, R. Hunt, P. Rainsberry, M. Abdou Fusion Engineering Science, Mechanical and Aerospace Engineering Department University of California, Los Angeles Los Angeles, California, USA ying

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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, ...

  14. 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.

  15. 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.

  16. 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.

  17. 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

  18. 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...

  19. eNgINeerINg g r A d U A T e P r O g r A M S

    E-Print Network [OSTI]

    Heller, Barbara

    IIT ArMOUr COllege Of eNgINeerINg g r A d U A T e P r O g r A M S Educating a nEw gEnEration of EnginEErs #12;A TrAdiTion of ExcEllEncE Armour College of Engineering was founded in 1893 as Armour Institute, dedicated to preparing students from all backgrounds for careers as engineers in a rapidly

  20. 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...

  1. 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...

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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:

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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  

  18. 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

  19. 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

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Statistically significant relational data mining :

    SciTech Connect (OSTI)

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

    2014-02-01

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

  15. Money earmarked for cervid research at Texas Tech -Texas Hunting & Fishing | Lone Star Outdoor News http://www.lsonews.com/money-earmarked-cervid-research-texas-tech/[8/11/2014 8:25:26 AM

    E-Print Network [OSTI]

    Rock, Chris

    Money earmarked for cervid research at Texas Tech - Texas Hunting & Fishing | Lone Star Outdoor News http://www.lsonews.com/money-earmarked-cervid-research-texas-tech/[8/11/2014 8:25:26 AM] Money earmarked for cervid research at Texas Tech By Conor Harrison on August 8, 2014 in Texas Hunting 0 Texas

  16. 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.

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

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

  5. West Virginia University 1 Department of Mining Engineering

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  6. Twitter Food Photo Mining and Analysis for One

    E-Print Network [OSTI]

    Yanai, Keiji

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

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

    E-Print Network [OSTI]

    Aubertin, Michel

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

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

    E-Print Network [OSTI]

    Antwerpen, Universiteit

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

  9. 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...

  10. 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.

  11. Rock mechanics design in mining and tunneling

    SciTech Connect (OSTI)

    Bieniawski, Z.T.

    1984-01-01

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

  12. 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.

  13. 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

  14. 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

  15. 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,

  16. 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

  17. 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.

  18. 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

  19. 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,

  20. A Biophysical Study of Integral Membrane Protein Folding John F. Hunt,, Thomas N. Earnest,|, Olaf Bousche,| Krishna Kalghatgi,3,# Karlyne Reilly,,O Csaba Horvath,3

    E-Print Network [OSTI]

    A Biophysical Study of Integral Membrane Protein Folding John F. Hunt,,§ Thomas N. Earnest,|, Olaf on the process of integral membrane protein folding and assembly, we have conducted a biophysical dissection suggest that the folding of R-helical integral membrane proteins may proceed spontaneously. However

  1. 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.

  2. 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

  3. 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

  4. 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.

  5. 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

  6. 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

  7. 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

  8. 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

  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. 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

  11. 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.

  12. 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...

  13. 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.

  14. 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

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  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. 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

  13. 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

  14. 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

  15. 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

  16. 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

  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. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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.

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. ing delivery of shipment. For

    E-Print Network [OSTI]

    Galef Jr., Bennett G.

    satisfactory food is available and in which no monophage could sur- UfO: ~NETT G. GALEF, JR. AND MATTHEW BECK

  19. 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.

  20. 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 -...

  1. 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 ...

  2. 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

  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. 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.

  3. 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.

  4. 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.

  5. 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,

  6. 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.

  7. 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.

  8. 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).

  9. 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

  10. 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

  11. 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.

  12. 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...

  13. 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

  14. 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

  15. 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...

  16. 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...

  17. 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

  18. 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...

  19. 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/

  20. 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...

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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,

  14. 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

  15. 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

  16. 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

  17. 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,

  18. 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.

  19. 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

  20. 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,

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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...

  6. 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

  7. 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 ...

  8. 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 ...

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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.