2010 ManagingAndMiningGraphData

• (Aggarwal & Wang, 2010a) ⇒ Charu C. Aggarwal, and Haixun Wang. (2010b). “Managing and Mining Graph Data.” Springer. doi:10.1007/978-1-4419-6045-0 ISBN:978-1-4419-6044-3

Subject Headings: Edited Volume

Notes

• (Aggarwal & Wang, 2010) ⇒ Charu C. Aggarwal, and Haixun Wang. (2010b). “Graph Data Management and Mining: A Survey of Algorithms and Applications." doi:10.1007/978-1-4419-6045-0_2

Quotes

Author Keywords

• Graph Mining algorithm; biological datasets; chemical graph data; clustering algorithms; graph reachability; privacy-preservation.

Abstract

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on 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 leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing.,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 ManagingAndMiningGraphData	Charu C. Aggarwal Haixun Wang			Managing and Mining Graph Data				10.1007/978-1-4419-6045-0		2010