Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery)

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

ISBN 10: 0367384051 / ISBN 13: 9780367384050

Edité par Chapman and Hall/CRC, 2019

A propos de cet article

N° de réf. du vendeur I-9780367384050

Détails bibliographiques

• Titre: Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery)
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 0367384051
• ISBN à 13 chiffres: 9780367384050
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.