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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer programming / software development Graphics programming

• Full title: Managing and Mining Graph Data
• Author: Charu C. Aggarwal, Haixun Wang
• Language: English
• Binding: Hardback
• Number of pages: 600
• EAN: 9781441960443
• ISBN: 1441960449
• ID: 01423890
• Publisher: Springer-Verlag New York Inc.
• Weight: 2340 g
• Dimensions: 235 × 155 × 48 mm
• Date of publishing: 19. February 2010

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