Cook / Holder Mining Graph Data

1. Auflage 2007
ISBN: 978-0-470-07303-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 434 Seiten, E-Book

This text takes a focused and comprehensive look at mining datarepresented as a graph, with the latest findings and applicationsin both theory and practice provided. Even if you have minimalbackground in analyzing graph data, with this book you'll beable to represent data as graphs, extract patterns and conceptsfrom the data, and apply the methodologies presented in the text toreal datasets.
There is a misprint with the link to the accompanying Web pagefor this book. For those readers who would like to experiment withthe techniques found in this book or test their own ideas on graphdata, the Web page for the book should behttp://www.eecs.wsu.edu/MGD.

Autoren/Hrsg.

Cook, Diane J.

Holder, Lawrence B.

Über Autor(innen)

DIANE J. COOK, PhD, is the Huie-Rogers Chair Professor inthe School of Electrical Engineering and Computer Science atWashington State University. Her extensive research in artificialintelligence and data mining has been supported by grants from theNational Science Foundation, NASA, DARPA, and Texas Instruments.Dr. Cook is the coauthor of Smart Environments: Technology,Protocols, and Applications (Wiley).
LAWRENCE B. HOLDER, PhD, is Professor in the School ofElectrical Engineering and Computer Science at Washington StateUniversity, where he teaches and conducts research in artificialintelligence, machine learning, data mining, graph theory, paralleland distributed processing, and cognitive architectures.