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Relational Data Clustering: Models, Algorithms, and Applications: 14 (Chapman & Hall/Crc Data Mining and Knoweldge Discovery) - Tapa blanda

Libro 1 de 56: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Long, Bo; Zhang, Zhongfei; Yu, Philip S.

 
9780367384050: Relational Data Clustering: Models, Algorithms, and Applications: 14 (Chapman & Hall/Crc Data Mining and Knoweldge Discovery)
Tapa blanda
ISBN 10: 0367384051 ISBN 13: 9780367384050
Editorial: Routledge, 2019

Sinopsis

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:



  1. Clustering on bi-type heterogeneous relational data


  2. Multi-type heterogeneous relational data


  3. Homogeneous relational data clustering


  4. Clustering on the most general case of relational data


  5. Individual relational clustering framework


  6. 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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2019
Idioma
Inglés
ISBN 10 
0367384051
ISBN 13 
9780367384050
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
216
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania