MARC Record from marc_columbia

LEADER: 03990cam a2200709Ia 4500
001 15080409
005 20220604232310.0
006 m o d
007 cr mn|||||||||
008 101007s2010 flua ob 001 0 eng d
035 $a(OCoLC)ocn669043547
035 $a(NNC)15080409
040 $aCUS$beng$epn$cCUS$dYDXCP$dOSU$dEBLCP$dCDX$dE7B$dOCLCQ$dMHW$dIDEBK$dOHS$dDEBSZ$dOCLCQ$dOCLCO$dOCLCF$dOCLCQ$dYDX$dOCLCO$dOCLCQ$dMERUC$dOCLCO$dUAB$dOCLCQ$dOCLCO$dOCLCA$dOCLCQ$dNLE$dOCLCQ$dUKMGB$dUKAHL$dOCLCQ$dK6U$dOCLCO
015 $aGBB7A9802$2bnb
016 7 $a018392427$2Uk
019 $a741350971$a816619503
020 $a9781420072624$q(electronic bk.)
020 $a1420072625$q(electronic bk.)
020 $a1282902318
020 $a9781282902312
020 $z9781420072617$q(hbk. ;$qalk. paper)
020 $z1420072617$q(hbk. ;$qalk. paper)
035 $a(OCoLC)669043547$z(OCoLC)741350971$z(OCoLC)816619503
037 $aTANDF_184508$bIngram Content Group
050 4 $aQA76.9.D343$bR46 2010
060 4 $aQA76.9.D343
072 7 $aUXAM$2bicssc
072 7 $aCOM$x051170$2bisacsh
082 04 $a006.312
049 $aZCUA
245 00 $aRelational data clustering :$bmodels, algorithms, and applications /$cBo Long, Zhongfei Zhang, Philip S. Yu.
260 $aBoca Raton :$bCRC Press,$c©2010.
300 $a1 online resource (xvi, 196 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC data mining and knowledge discovery series
504 $aIncludes bibliographical references (pages 185-194) and index.
588 0 $aPrint version record.
505 0 $aFront cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Part I: Models; Chapter 2: Co-Clustering; Chapter 3: Heterogeneous Relational Data Clustering; Chapter 4: Homogeneous Relational Data Clustering; Chapter 5: General Relational Data Clustering; Chapter 6: Multiple-View Relational Data Clustering; Chapter 7: Evolutionary Data Clustering; Part II: Algorithms; Chapter 8: Co-Clustering; Chapter 9: Heterogeneous Relational Data Clustering; Chapter 10: Homogeneous Relational Data Clustering; Chapter 11: General Relational Data Clustering.
520 $aThis is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based m.
650 0 $aData mining.
650 0 $aCluster analysis.
650 0 $aRelational databases.
650 2 $aData Mining
650 2 $aCluster Analysis
650 6 $aExploration de données (Informatique)
650 6 $aClassification automatique (Statistique)
650 6 $aBases de données relationnelles.
650 7 $aCOMPUTERS$xProgramming Languages$xSQL.$2bisacsh
650 7 $aCluster analysis.$2fast$0(OCoLC)fst00864976
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aRelational databases.$2fast$0(OCoLC)fst01093575
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aLong, Bo.
700 1 $aZhang, Zhongfei.
700 1 $aYu, Philip S.
776 08 $iPrint version:$tRelational data clustering.$dBoca Raton : Chapman & Hall/CRC, ©2010$z9781420072617$w(DLC) 2010009487$w(OCoLC)176924810
830 0 $aChapman & Hall/CRC data mining and knowledge discovery series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15080409$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS