Relational data clustering : models, algorithms, and applications / Bo Long, Zhongfei Zhang, Philip S. Yu.

Format:

Book

Contributor:

Long, Bo.

Yu, Philip S.

Zhang, Zhongfei.

Series:

Chapman & Hall/CRC data mining and knowledge discovery series.

Chapman & Hall/CRC data mining and knowledge discovery series

Language:

English

Subjects (All):

Cluster analysis.

Data mining.

Relational databases.

Physical Description:

1 online resource (214 p.)

Edition:

1st edition

Place of Publication:

Boca Raton : Chapman & Hall/CRC, c2010.

Language Note:

English

System Details:

text file

Summary:

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

Contents:

Front 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

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

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on metadata supplied by the publisher and other sources.

ISBN:

9786612902314

9781040068601

104006860X

9780429140853

0429140851

9781282902312

1282902318

9781420072624

1420072625

OCLC:

669043547