Description

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.

There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be http://www.eecs.wsu.edu/MGD.

Mining Graph Data

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£134.95

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Hardback by Diane J. Cook , Lawrence B. Holder

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Short Description:

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 15/12/2006
    ISBN13: 9780471731900, 978-0471731900
    ISBN10: 0471731900

    Number of Pages: 500

    Non Fiction , Mathematics & Science , Education

    Description

    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.

    There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be http://www.eecs.wsu.edu/MGD.

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