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Practical Graph Mining with R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

From Chapman and Hall/CRC




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 | #1933844 in Books |  2013-07-15 | Original language:English | PDF # 1 |  9.21 x1.06 x6.14l,1.80 | File type: PDF | 495 pages

||2 of 6 people found the following review helpful.| An excellent addition to my personal library|By Olufemi A. Omitaomu|This is definitely a practical book. An excellent addition to my personal library.|2 of 6 people found the following review helpful.| Five Stars|By Mark|great book.| |"The authors provide a tour de force introduction to the different data representations (vectors, matrices), and introduce graph structures and the questions that can be answered with them. ... The book has many strong points. There is a companion website that

Discover Novel and Insightful Knowledge from Data Represented as a Graph
Practical 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 clusters of nodes that share common patterns of attributes and relationships, the extraction of pa...

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