Description
Managing and Mining Graph Data, 2010
Advances in Database Systems Series, Vol. 40
Coordinators: Aggarwal Charu C., Wang Haixun
Language: EnglishSubjects for Managing and Mining Graph Data:
Publication date: 04-2012
600 p. · 15.5x23.5 cm · Paperback
Publication date: 02-2010
600 p. · 15.5x23.5 cm · Hardback
Description
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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.
Edited volume combines research in one, easily-accessible resource
Each chapter serves as point of entry into a specific topic
Includes supplementary material: sn.pub/extras