Advances in Database Systems

Aggarwal, Charu C.; Wang, Haixun

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing.

Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.

Details

Published by: Springer

Publication Date: 2012-04-06

Format: Paperback

ISBN-13: 9781461425601

DOI: 10.1007/978-1-4419-6045-0

Dimensions: 235cm x155cm

Pages: 600