Relational Data Clustering: Models, Algorithms, and Applications
Long, B. et al
Sold by Anybook.com, Lincoln, United Kingdom
AbeBooks Seller since 22 December 1999
Used - Hardcover
Condition: Poor
Quantity: 1 available
Add to basketSold by Anybook.com, Lincoln, United Kingdom
AbeBooks Seller since 22 December 1999
Condition: Poor
Quantity: 1 available
Add to basketThis is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9781420072617.
Seller Inventory # 9380061
A culmination of the authors’ years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems.
After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering:
This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
Bo Long is a scientist at Yahoo! Labs in Sunnyvale, California.
Zhongfei Zhang is an associate professor in the computer science department at the State University of New York in Binghamton.
Philip S. Yu is a professor in the computer science department and the Wexler Chair in Information Technology at the University of Illinois in Chicago.
"About this title" may belong to another edition of this title.
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