Produktnummer:
1847040847e8554057bcf40ee5f6a183f4
| Themengebiete: | Clustering Graph Information Retrieval Managing Mining algorithm biological datasets chemical graph data classification currentjm |
|---|---|
| Veröffentlichungsdatum: | 19.02.2010 |
| EAN: | 9781441960443 |
| Sprache: | Englisch |
| Seitenzahl: | 600 |
| Produktart: | Gebunden |
| Herausgeber: | Aggarwal, Charu C. Wang, Haixun |
| Verlag: | Springer US |
Produktinformationen "Managing and Mining Graph Data"
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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