LEADER 03738oam 2200733I 450 001 9910785135503321 005 20220620112850.0 010 $a0-429-14085-1 010 $a1-282-90231-8 010 $a9786612902314 010 $a1-4200-7262-5 024 7 $a10.1201/EBK1420072617 035 $a(CKB)2670000000048315 035 $a(EBL)589914 035 $a(OCoLC)669043547 035 $a(SSID)ssj0000426937 035 $a(PQKBManifestationID)11290105 035 $a(PQKBTitleCode)TC0000426937 035 $a(PQKBWorkID)10404723 035 $a(PQKB)11252523 035 $a(Au-PeEL)EBL589914 035 $a(CaPaEBR)ebr10417844 035 $a(CaONFJC)MIL290231 035 $a(OCoLC)671749804 035 $a(CaSebORM)9781420072624 035 $a(MiAaPQ)EBC589914 035 $a(EXLCZ)992670000000048315 100 $a20180331d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aRelational data clustering $emodels, algorithms, and applications /$fBo Long, Zhongfei Zhang, Philip S. Yu 205 $a1st edition 210 1$aBoca Raton :$cChapman & Hall/CRC,$d2010. 215 $a1 online resource (214 p.) 225 1 $aChapman & Hall/CRC data mining and knowledge discovery series 300 $aDescription based upon print version of record. 311 $a1-4665-2984-9 311 $a1-4200-7261-7 320 $aIncludes bibliographical references and index. 327 $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 327 $aChapter 12: Multiple-View Relational Data ClusteringChapter 13: Evolutionary Data Clustering; Part III: Applications; Chapter 14: Co-Clustering; Chapter 15: Heterogeneous Relational Data Clustering; Chapter 16: Homogeneous Relational Data Clustering; Chapter 17: General Relational Data Clustering; Chapter 18: Multiple-View and Evolutionary Data Clustering; Part IV: Summary; References; Index; Back cover 330 $aThis is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based m 410 0$aChapman & Hall/CRC data mining and knowledge discovery series. 606 $aCluster analysis 606 $aData mining 606 $aRelational databases 615 0$aCluster analysis. 615 0$aData mining. 615 0$aRelational databases. 676 $a005.75/6 676 $a006.312 701 $aLong$b Bo$0887158 701 $aZhang$b Zhongfei$01525896 701 $aYu$b Philip S$0892385 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785135503321 996 $aRelational data clustering$93767537 997 $aUNINA