Managing and Mining Graph Data PDF
Edited by Charu C. Aggarwal, Haixun Wang
Part of the Advances in Database Systems series
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer US
- Publication Date:02/02/2010
- Category:
- ISBN:9781441960450
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer US
- Publication Date:02/02/2010
- Category:
- ISBN:9781441960450
