Managing and Mining Graph Data (Paperback)
Paperback or Softback 600 pages Apr 06, 2012
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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.
- Author:
- Charu C. Aggarwal
- Publisher:
- Springer
- Publication Date:
- Apr 06, 2012
- Number of pages:
- 600 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 1461425603
- ISBN-13:
- 9781461425601