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Mining Graph Data

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 | #3241991 in Books |  2006-11-28 | Original language:English | PDF # 1 |  9.50 x1.40 x6.90l,1.85 | File type: PDF | 500 pages

||6 of 9 people found the following review helpful.| Excellent survey|By J. Chan|This book provides a great survey of some recent advances in graph mining. When I started studying graph mining a few years back, there was no single book or reference to get a good introduction to the field. This book would have saved me some time in getting a firm grasp on the issues in graph mining.

The book provides the reader with a| |"…individuals with no background analyzing graph data can learn how to represent the data as graphs, extract patterns or concepts from the data, and see how researchers apply the methodologies to real datasets." (Computing s.com, March 23, 2007)

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets.

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