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

Published
Boca Raton : CRC Press, [2010]
Copyright Date
©2010
Physical Description
1 online resource (xvi, 196 pages) : illustrations
Additional Creators
Long, Bo., Zhang, Zhongfei, and Yu, Philip S.
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Series
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
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
Subject(s)
ISBN
9781420072624 (electronic bk.)
1420072625 (electronic bk.)
Note
"A Chapman & Hall Book."
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Bibliography Note
Includes bibliographical references (pages 185-194) and index.
Technical Details
Mode of access: World Wide Web.
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