PRACTICAL GRAPH MINING WITH R

Nagiza F. Samatova; William Hendrix; John Jenkins; Kanchana Padmanabhan; Arpan Chakraborty

doi:10.1201/b15352

PRACTICAL GRAPH MINING WITH R

Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty

Department of Computer Science

North Carolina State University

Research output: Book/Report › Book › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Number of pages	466
ISBN (Electronic)	9781439860854
DOIs	https://doi.org/10.1201/b15352
State	Published - 1 Jan 2013

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AU - Chakraborty, Arpan

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PRACTICAL GRAPH MINING WITH R

Abstract

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