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商品詳細
Managing and Mining Graph Data. Previously published in hardcover
・ISBN 978-1-4614-2560-1 paper EUR 199.99
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| 著者・編者 | Aggarwal, Charu C. / Wang, Haixun (eds.), |
|---|---|
| シリーズ | (Advances in Database Systems) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2012 |
| ページ数 | 600 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-45843＞ |
解説
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.