Relational data clustering : models, algorithms, and applications

Presents a comprehensive overview of relational data clustering in data mining research. This book reflects the emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics

Bibliographic Details
Other Authors: Yu, Philip S., Long, Bo, Zhang, Zhongfei
Language:English
Published: Boca Raton, Florida: Chapman & Hall/CRC, c2010.
Series:Chapman & Hall/CRC data mining and knowledge discovery series
Subjects:
Table of Contents:
  • 1. Models
  • 2. Algorithms
  • 3. Applications