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Relational Data Clustering: Models, Algorithms, and Applications by Bo Long at Abbey's Bookshop,
Relational Data Clustering: Models, Algorithms, and Applications
— —
Bo Long Zhongfei Zhang

Relational Data Clustering

Models, Algorithms, and Applications

Bo Long,  Zhongfei Zhang,  Philip S. Yu

$126

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English
Chapman & Hall/CRC
19 September 2019
Data mining
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:

Clustering on bi-type heterogeneous relational data

Multi-type heterogeneous relational data

Homogeneous relational data clustering

Clustering on the most general case of relational data

Individual relational clustering framework

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.
By:   , ,
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   453g
ISBN:   9780367384050
ISBN 10:   0367384051
Pages:   216
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Introduction. Models. Algorithms. Applications. Summary. References. Index.

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.

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