Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery)
by Philip S. Yu, Bo Long, Zhongfei Zhang
Relational Data Clustering examines models, algorithms, and applications related to clustering relational data. Published in the Chapman & Hall/CRC Data Mining and Knowledge Discovery series, this academic volume offers a focused resource for readers studying data mining, knowledge discovery, and computational approaches to relational information.
About This Book
Relational Data Clustering focuses on the study of clustering methods for relational data.
The book addresses models, algorithms, and applications within the broader field of data mining.
It is part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery series.
Written by Philip S. Yu, Bo Long, and Zhongfei Zhang, this volume is suited to readers seeking an academic treatment of the subject.
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