Mining Graph Data

by Diane J. Cook (editor), Lawrence B. Holder (Editor)

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

512 pages, Hardcover

First published November 1, 2006

Reviews

[Xianshun Chen]

The book I read when researching on application of graph mining for vehicle routing problems during my PHD.