Relational Data Clustering: Models, Algorithms, and Applications, 1st Edition (Paperback) book cover

Relational Data Clustering

Models, Algorithms, and Applications, 1st Edition

By Bo Long, Zhongfei Zhang, Philip S. Yu

Chapman and Hall/CRC

216 pages

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Description

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:







  1. Clustering on bi-type heterogeneous relational data


  2. Multi-type heterogeneous relational data


  3. Homogeneous relational data clustering


  4. Clustering on the most general case of relational data


  5. Individual relational clustering framework


  6. Recent research on evolutionary 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.

Table of Contents

Introduction. Models. Algorithms. Applications. Summary. References. Index.

About the Authors

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.

Subject Categories

BISAC Subject Codes/Headings:
BUS061000
BUSINESS & ECONOMICS / Statistics
COM000000
COMPUTERS / General
COM012040
COMPUTERS / Programming / Games
COM021030
COMPUTERS / Database Management / Data Mining
MAT029000
MATHEMATICS / Probability & Statistics / General