Managing and Mining Graph Data
| Autor: | Charu C. Aggarwal, Haixun Wang |
|---|---|
| EAN: | 9781441960450 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 02.02.2010 |
| Kategorie: | |
| Schlagworte: | Clustering Graph Information Retrieval Managing Mining algorithm biological datasets chemical graph data classification currentjm data mining graph data graph mining query language social networks |
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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.
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