Mining Graph Data

Mining Graph Data
Author :
Publisher : John Wiley & Sons
Total Pages : 501
Release :
ISBN-10 : 9780470073032
ISBN-13 : 0470073039
Rating : 4/5 (039 Downloads)

Book Synopsis Mining Graph Data by : Diane J. Cook

Download or read book Mining Graph Data written by Diane J. Cook and published by John Wiley & Sons. This book was released on 2006-12-18 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Mining Graph Data Related Books

Mining Graph Data
Language: en
Pages: 501
Authors: Diane J. Cook
Categories: Technology & Engineering
Type: BOOK - Published: 2006-12-18 - Publisher: John Wiley & Sons

GET EBOOK

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 pr
Managing and Mining Graph Data
Language: en
Pages: 623
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2010-02-02 - Publisher: Springer Science & Business Media

GET EBOOK

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topi
Graph Mining
Language: en
Pages: 191
Authors: Deepayan Chakrabarti
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

GET EBOOK

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the
Practical Graph Mining with R
Language: en
Pages: 489
Authors: Nagiza F. Samatova
Categories: Business & Economics
Type: BOOK - Published: 2013-07-15 - Publisher: CRC Press

GET EBOOK

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interes
Graph Data Mining
Language: en
Pages: 256
Authors: Qi Xuan
Categories: Computers
Type: BOOK - Published: 2021-07-15 - Publisher: Springer Nature

GET EBOOK

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields