Mining Graph Data
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Beschreibung
This text takes a focused and comprehensive look at mining datarepresented as a graph, with the latest findings and applicationsin both theory and practice provided. Even if you have minimalbackground in analyzing graph data, with this book you'll beable to represent data as graphs, extract patterns and conceptsfrom the data, and apply the methodologies presented in the text toreal datasets.
There is a misprint with the link to the accompanying Web pagefor this book. For those readers who would like to experiment withthe techniques found in this book or test their own ideas on graphdata, the Web page for the book should behttp://www.eecs.wsu.edu/MGD.
Autor*in
Diane J. Cook
Themen in »Mining Graph Data«
Computer Science Data Mining Data Mining Statistics Electrical & Electronics Engineering Elektrotechnik u. Elektronik Informatik Mustererkennung Pattern Analysis Statistics Statistik Visualisierung u. Computergraphik Visualization & Computer Graphics
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"...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 Reviews.com, March 23, 2007)
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