[HOT SHARE] Managing and Mining Graph Data Books
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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.
Additional Information:
| Title | : Managing and Mining Graph Data |
| Author | : Charu C. Aggarwal,Haixun Wang |
| Item ID | : Gf6SwXafqkQC |
| Publisher | : Springer Science & Business Media |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 600 |
| Category | : Computers |
| Published Date | : 2010-02-02 |
| Language | : en |
| Isbn 10 | : 1441960457 |
| Isbn 13 | : 9781441960450 |
| Sale Info | : FOR_SALE |
| Price | : 124.79 EUR |
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