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LEADER 00000cam  2200601Ii 4500 
001    747578881 
003    OCoLC 
005    20181101050930.5 
006    m     o  d         
007    cr ||||||||||| 
008    110823s2011    gw a    ob    101 0 eng d 
019    755631013|a759865577|a765034450|a769768501 
020    9783642231841 
020    3642231845 
020    |z9783642231834 
020    |z3642231837 
035    (OCoLC)747578881|z(OCoLC)755631013|z(OCoLC)759865577
       |z(OCoLC)765034450|z(OCoLC)769768501 
037    978-3-642-23183-4|bSpringer|nhttp://www.springerlink.com 
040    CUS|beng|epn|erda|cCUS|dC$Q|dGW5XE|dGZM|dE7B|dOCLCQ|dOCLCA
       |dOCLCF|dBEDGE|dDKDLA|dOCLCQ|dOCLCO|dCOO|dYDXCP|dOCL
       |dOCLCO|dOCLCQ|dOCLCO|dEBLCP|dVT2|dOCLCQ|dVGM|dESU|dOCLCQ
       |dIOG|dBUF|dCEF|dTFW|dU3W 
049    MAIN 
050  4 QA76.9.D343 
082 04 006.3/12|223 
111 2  Industrial Conference on Data Mining|0http://id.loc.gov/
       authorities/names/no2005003836|n(11th :|d2011 :|cNew York,
       N.Y.) 
245 10 Advances in data mining :|bapplications and theoretical 
       aspects : 11th industrial conference, ICDM 2011, New York,
       NY, USA, August 30 - September 3, 2011 : proceedings /
       |cPetra Perner (ed.). 
246 3  Advances on data mining : applications and theoretical 
       aspects 
246 30 ICDM 2011 
264  1 Heidelberg ;|aNew York :|bSpringer,|c2011. 
300    1 online resource (xi, 328 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Lecture notes in computer science,|x0302-9743 ;|v6870.
       |aLecture notes in artificial intelligence 
490 1  LNCS sublibrary. SL 7, Artificial intelligence 
504    Includes bibliographical references and index. 
505 00 |tImprovements over adaptive local hyperplane to achieve 
       better classification /|rHongmin Cai --|tPrognostic models
       based on linear separability /|rLeon Bobrowski --|tOne 
       class classification for anomaly detection : support 
       vector data description revisited /|rEric J. Pauwels and 
       Onkar Ambekar --|tHow to interpret decision trees? /
       |rPetra Perner --|tComparing classifiers and 
       metaclassifiers /|rElio Lozano and Edgar Acuna --|tFast 
       data acquisition in cost-sensitive learning /|rVictor S. 
       Sheng --|tApplications of a unified medical data miner 
       (UMDM) for prediction, classification, interpretation and 
       visualization on medical datasets : the diabetes dataset 
       case /|rNawaz Mohamudally and Dost Muhammad Khan --
       |tMelanoma diagnosis and classification web center system 
       : the non-invasive diagnosis support subsystem /|rWiesaw 
       Paja and Mariusz Wrzesien --|tCharacterizing cell types 
       through differentially expressed gene clusters using a 
       model-based approach /|rJuliane Perner and Elena Zotenko -
       -|tExperiments with hybridization and optimization of the 
       rules knowledge base for classification of MMPI profiles /
       |rJerzy Gomua ... (et al.) --|tUnsupervised classification
       of hyperspectral images on spherical manifolds /|rDalton 
       Lunga and Okan Ersoy --|tRecognition of porosity in wood 
       microscopic anatomical images /|rShen Pan and Mineichi 
       Kudo --|tExploratory hierarchical clustering for 
       management zone delineation in precision agriculture /
       |rGeorg Russ and Rudolf Kruse --|tHigh classification 
       rates for continuous cow activity recognition using low-
       cast GPS positioning sensors and standard machine learning
       techniques /|rTorben Godsk and Mikkel Baun Kjaergaard --
       |tMining pixel evolutions in satellite image time series 
       for agricultural monitoring /|rAndreea Julea ... (et al.) 
       --|tRobust, non-redundant feature selection for yield 
       analysis in semiconductor manufacturing /|rEric St. Pierre
       and Eugen Tuv --|tIntegrated use of ICA and ANN to 
       recognize the mixture control chart patterns in a process 
       /|rYuehjen E. Shao, Yini Lin, and Ya-Chi Chan --
       |tOptimized fuzzy decision tree data mining for 
       engineering applications /|rLiam Evans and Niels Lohse --
       |tGraph-based data warehousing using the core-facets model
       /|rDung N. Lam, Alexander Y. Liu, and Cheryl E. Martin --
       |tGeneral sales forecast models for automobile markets 
       based on time series analysis and data mining techniques /
       |rMarco Hulsmann ... (et al.) --|tTowards a spatial 
       instance learning method for deep web pages /|rErmelinda 
       Oro and Massimo Ruffolo --|tApplying user signatures on 
       fraud detection in telecommunications networks /|rJoao 
       Lopes, Orlando Belo, and Carlos Vieira --|tMethods in case
       -based classification in bioinformatics : lessons learned 
       /|rIsabelle Bichindaritz --|tPrediction of batch-end 
       quality for an industrial polymerization process /|rGeert 
       Gins ... (et al.). 
520 8  Annotation This book constitutes the refereed proceedings 
       of the 11th Industrial Conference on Data Mining, ICDM 
       2011, held in New York, USA in September 2011. The 22 
       revised full papers presented were carefully reviewed and 
       selected from 100 submissions. 
588 0  Print version record. 
650  0 Data mining|vCongresses.|0http://id.loc.gov/authorities/
       subjects/sh2008102035 
655  4 Electronic books. 
655  7 Conference papers and proceedings.|2fast|0http://
       id.worldcat.org/fast/1423772 
655  7 Electronic books.|2lcgft 
655  7 Conference papers and proceedings.|2lcgft|0http://
       id.loc.gov/authorities/genreForms/gf2014026068 
700 1  Perner, Petra.|0http://id.loc.gov/authorities/names/
       n96069147 
776 08 |iPrint version:|tAdvances on Data Mining.|dSpringer-
       Verlag New York Inc 2011|z9783642231834|w(DLC)  2011933918
       |w(OCoLC)741541115 
830  0 Lecture notes in computer science ;|0http://id.loc.gov/
       authorities/names/n42015162|v6870.|x0302-9743 
830  0 Lecture notes in computer science.|pLecture notes in 
       artificial intelligence.|0http://id.loc.gov/authorities/
       names/n86736436 
830  0 LNCS sublibrary.|nSL 7,|pArtificial intelligence.|0http://
       id.loc.gov/authorities/names/n2008077786 
990    SpringerLink|bSpringer English/International eBooks 2011 -
       Full Set|c2018-10-31|yNew collection 
       springerlink.ebooks2011|5OH1 
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