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Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)

Deepayan Chakrabarti, Christos Faloutsos




[PDF.im79] Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)

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 | #2705387 in Books |  Morgan n Claypool Publishers |  2012-10-19 | Original language:English | PDF # 1 |  9.25 x.47 x7.50l,.81 | File type: PDF | 208 pages

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||0 of 0 people found the following review helpful.| Five Stars|By Mark Coy|great book.

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account...

You can specify the type of files you want, for your device.Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)   |  Deepayan Chakrabarti, Christos Faloutsos. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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