Relational data clustering models, algorithms, and applications

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, col...

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Detalles Bibliográficos
Otros Autores: Long, Bo (-), Yu, Philip S., Zhang, Zhongfei
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : Chapman & Hall/CRC c2010.
Edición:1st edition
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628310006719
Descripción
Sumario: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
Notas:Description based upon print version of record.
Descripción Física:1 online resource (214 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9780429140853
9781282902312
9786612902314
9781420072624