Practical Graph Mining with R PDF
Edited by Nagiza F. (Oak Ridge National Laboratory, Raleigh, North Carolina, USA) Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan (North Carolina State University, Raleigh, USA) Chakraborty
Part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series series
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Description
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data.
It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste
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Download Now
- Format:PDF
- Pages:495 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:15/07/2013
- Category:
- ISBN:9781439860854
Information
-
Download Now
- Format:PDF
- Pages:495 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:15/07/2013
- Category:
- ISBN:9781439860854
