E-Books → Managing and Mining Graph Data (Advances in Database Systems)




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Managing and Mining Graph Data (Advances in Database Systems)
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Managing and Mining Graph Data (Advances in Database Systems) by Charu C. Aggarwal, Haixun Wang

Publisher: Springer | 2010-03-01 | ISBN: 1441960449 | PDF | 610 pages | 102 MB


Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on 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 leading researchers, 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.


 







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