(EBOOK PDF) Relational Data Clustering Models Algorithms and Applications 1st Edition by Bo Long, Zhongfei Zhang, Philip Yu ISBN 104006860X 9781040068601 full chapters

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Product details:

ISBN 10: 104006860X

ISBN 13: 9781040068601

Author:  Bo Long, Zhongfei Zhang, Philip S. Yu 

Relational Data Clustering: Models, Algorithms, and Applications 1st Edition: 

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.

 

Relational Data Clustering: Models, Algorithms, and Applications 1st Edition Table of contents:

• 1 Introduction

I Models

• 2 Co-Clustering
• 3 Heterogeneous Relational Data Clustering
• 4 Homogeneous Relational Data Clustering
• 5 General Relational Data Clustering
• 6 Multiple-View Relational Data Clustering
• 7 Evolutionary Data Clustering

II Algorithms

• 8 Co-Clustering
• 9 Heterogeneous Relational Data Clustering
• 10 Homogeneous Relational Data Clustering
• 11 General Relational Data Clustering
• 12 Multiple-View Relational Data Clustering
• 13 Evolutionary Data Clustering

III Applications

• 14 Co-Clustering
• 15 Heterogeneous Relational Data Clustering
• 16 Homogeneous Relational Data Clustering
• 17 General Relational Data Clustering
• 18 Multiple-View and Evolutionary Data Clustering

 

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Bo Long,Zhongfei Zhang,Philip Yu,Relational,Data,Clustering,Models,Algorithms,Applications