Managing and Mining Graph Data PDF
By:Charu C. Aggarwal,Haixun Wang
Published on 2010-02-02 by Springer Science & Business Media
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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Book ID of Managing and Mining Graph Data's Books is Gf6SwXafqkQC, Book which was written byCharu C. Aggarwal,Haixun Wanghave ETAG "oaL3ozSK8x0"
Book which was published by Springer Science & Business Media since 2010-02-02 have ISBNs, ISBN 13 Code is 9781441960450 and ISBN 10 Code is 1441960457
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Book which have "600 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
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