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Home > Technology > Electronics > Mining Graph Data-eBook
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Mining Graph Data
 
 
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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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Title of ebook: Mining Graph Data
ISBN: 9780470073032
Publisher: Wiley-Interscience
Internet download file size: 6387 kb
Pages: 500
Released online for download: 12-20-2006
Editor: Cook, Diane J.
Editor: Holder, Lawrence B.


Mining Graph Data



Chapter One

INTRODUCTION

LAWRENCE B. HOLDER AND DIANE J. COOK School of Electrical Engineering and Computer Science Washington State University, Pullman, Washington

The ability to mine data to extract useful knowledge has become one of the most important challenges in government, industry, and scientific communities. Much success has been achieved when the data to be mined represents a set of independent entities and their attributes, for example, customer transactions. However, in most domains, there is interesting knowledge to be mined from the relationships between entities. This relational knowledge may take many forms from periodic patterns of transactions to complicated structural patterns of interrelated transactions. Extracting such knowledge requires the d ... read full excerpt from Mining Graph Data ebook





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