{
"item_title" : "Relational Data Clustering",
"item_author" : [" Bo Long", "Zhongfei Zhang", "Philip S. Yu "],
"item_description" : "A culmination of the authors' years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering problems arising in a wide range of important applications. Concepts and theory are explained through detailed application examples and the book includes a comprehensive reference list of related literature. ",
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Relational Data Clustering : Models, Algorithms, and Applications
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Overview
A culmination of the authors' years of extensive research on the topic, this book provides a complete, self-contained introduction to advances in relational data clustering. It presents a novel theoretical framework as well as the most state-of-the-art models for relational data clustering. The authors also describe a family of new algorithms for various relational clustering problems arising in a wide range of important applications. Concepts and theory are explained through detailed application examples and the book includes a comprehensive reference list of related literature.
This item is Non-Returnable
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Details
- ISBN-13: 9780367384050
- ISBN-10: 0367384051
- Publisher: CRC Press
- Publish Date: September 2019
- Dimensions: 9.1 x 6.1 x 0.5 inches
- Shipping Weight: 0.1 pounds
- Page Count: 216
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