Mining Graph Data

by: Diane J Cook, Lawrence B Holder

(28 November 2006)

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Abstract

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. <p> 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.

@book{citeulike:1379202, abstract = {{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\&\#8217;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. <p> 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.}}, author = {Cook, Diane J. and Holder, Lawrence B. }, citeulike-article-id = {1379202}, howpublished = {Hardcover}, isbn = {0471731900}, keywords = {data, graph, mining}, month = {November}, posted-at = {2007-06-11 20:12:54}, priority = {2}, publisher = {Wiley-Interscience}, title = {Mining Graph Data}, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&path=ASIN/0471731900}, year = {2006} }

RIS record

TY - BOOK ID - citeulike:1379202 L3 - citeulike-article-id:1379202 TI - Mining Graph Data PB - Wiley-Interscience SN - 0471731900 N2 - {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. <p> 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.} KW - data KW - graph KW - mining AU - Cook, Diane AU - Holder, Lawrence PY - 2006/11/28/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0471731900 ER -

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