Managing and Mining Graph Data

Hardcover (Print)

Buy New

Buy New from BN.com

$183.20

(Save 20%)

Eligible for FREE SHIPPING details

Usually ships within 24 hours details

Used and New from Other Sellers

from $137.50

Usually ships in 1-2 business days

(Save 39%)

Other sellers (Hardcover)

All (6) from $137.50
New (4) from $168.78
Used (2) from $137.5

Overview

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 topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data.
The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.

Editorial Reviews

From the Publisher

From the reviews:

“This book provides a survey of some recent advances in graph mining. It contains chapters on graph languages, indexing, clustering, pattern mining, keyword search, and pattern matching. … The book is targeted at advanced undergraduate or graduate students, faculty members, and researchers from both industry and academia. … I highly recommend this book to someone who is starting to explore the field of graph mining or wants to delve deeper into this exciting field.” (Dimitrios Katsaros, ACM Computing Reviews, December, 2010)

Product Details

ISBN-13: 9781441960443
Publisher: Springer US
Publication date: 2/19/2010
Series: Advances in Database Systems Series , #40
Edition description: 2010
Edition number: 1
Pages: 600
Product dimensions: 6.40 (w) x 9.40 (h) x 1.60 (d)

Preface.- Introduction to Graph Data Management.- Graph Mining and Management Methods, Indexing Graph Data, Clustering Graph Data, Data Generators for Graphs, Pattern Mining, Classificaiton, Pattern Matching, Reachability Queries, Keyword Search, Web Graph Data, Chemical Data, Biological Data, Social Network Applications, XML Data, etc.- Index.

Customer Reviews

Be the first to write a review

( 0 )

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

If you find inappropriate content, please report it to Barnes & Noble

Managing and Mining Graph Data / Edition 1