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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