Relational Data Clustering: Models, Algorithms, and Applications (Google eBook)

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CRC Press, May 19, 2010 - Computers - 216 pages
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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.

  

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Contents

Introduction
1
Models
9
CoClustering
11
Heterogeneous Relational Data Clustering
21
Homogeneous Relational Data Clustering
29
General Relational Data Clustering
39
MultipleView Relational Data Clustering
47
Evolutionary Data Clustering
57
MultipleView Relational Data Clustering
123
Evolutionary Data Clustering
133
Applications
139
CoClustering
141
Heterogeneous Relational Data Clustering
147
Homogeneous Relational Data Clustering
153
General Relational Data Clustering
159
MultipleView and Evolutionary Data Clustering
169

Algorithms
73
CoClustering
75
Heterogeneous Relational Data Clustering
83
Homogeneous Relational Data Clustering
95
General Relational Data Clustering
105
Summary
179
References
185
Index
195
Back cover
197
Copyright

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About the author (2010)

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.