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Relational data clustering ...
This 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
Monografía
monografia Rebiun24692937 https://catalogo.rebiun.org/rebiun/record/Rebiun24692937 m o d | cr -n--------- 100323s2010 flua ob 001 0 eng d 2010009487 0-429-14085-1 1-282-90231-8 9786612902314 1-4200-7262-5 UPVA 997014823803706 UAM 991007895972904211 UPM 991005766977104212 UCAR 991008099120904213 UPM 991005942819004212 MiAaPQ MiAaPQ MiAaPQ eng 005.75/6 006.312 Relational data clustering electronic resource] models, algorithms, and applications Bo Long, Zhongfei Zhang, Philip S. Yu Boca Raton Chapman & Hall/CRC c2010 Boca Raton Boca Raton Chapman & Hall/CRC 1 online resource (214 p.) 1 online resource (214 p.) Text txt computer c online resource cr Chapman & Hall/CRC data mining and knowledge discovery series Description based upon print version of record Includes bibliographical references and index Front cover; Contents; List of Tables; List of Figures; Preface; Chapter Chapter 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 This 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 English Cluster analysis Data mining Relational databases Electronic books Long, Bo Yu, Philip S. Zhang, Zhongfei 1-4665-2984-9 1-4200-7261-7 Chapman & Hall/CRC data mining and knowledge discovery series