Practical graph mining with R / editors, Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty.

"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 pat...

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Bibliographic Details
Other Authors:	Samatova, Nagiza F.
Language:	English
Published:	Boca Raton : Taylor & Francis, 2014.
Series:	Chapman & Hall/CRC data mining and knowledge discovery series.
Subjects:	Data mining > Graphic methods. Information visualization > Data processing. R (Computer program language) BUSINESS & ECONOMICS / Statistics. COMPUTERS / Database Management / Data Mining. COMPUTERS / Machine Theory.
Physical Description:	xxi, 473 pages : illustrations ; 25 cm.
Format:	Book

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