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Managing and Mining Graph Data

Managing and Mining Graph Data

Paperback

Series: Advances in Database Systems, Book 40

DatabasesProgrammingSystem Administration

ISBN10: 1461425603
ISBN13: 9781461425601
Publisher: Springer
Published: Apr 6 2012
Pages: 600
Weight: 1.93
Height: 1.28 Width: 6.14 Depth: 9.21
Language: English

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.

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Aggarwal, Charu C.

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Databases