che-chandler.de
|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Mining Graph Data
ISBN-13:
9780470073032
Veröffentl:
2007
Einband:
E-Book
Seiten:
434
Autor:
Diane J. Cook
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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 eecs.wsu.edu/MGD.
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 beeecs.wsu.edu/MGD.