Relational Data Clustering: Models, Algorithms, and Applications Contributor(s): Long, Bo (Author), Zhang, Zhongfei (Author), Yu, Philip S. (Author) |
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ISBN: 0367384051 ISBN-13: 9780367384050 Publisher: CRC Press OUR PRICE: $75.95 Product Type: Paperback - Other Formats Published: September 2019 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Mathematics | Probability & Statistics - General - Business & Economics | Statistics |
Dewey: 005.756 |
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery |
Physical Information: 0.5" H x 6.1" W x 9.1" (0.10 lbs) 216 pages |
Descriptions, Reviews, Etc. |
Publisher 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:
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. |