Graph Data Management - Techniques and Applications (Hardcover, New)

Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databases has generated data management problems that include finding efficient techniques for compressing large graph databases and suitable techniques for visualizing, browsing, and navigating large graph databases. Graph Data Management: Techniques and Applications is a central reference source for different data management techniques for graph data structures and their application. This book discusses graphs for modeling complex structured and schemaless data from the Semantic Web, social networks, protein networks, chemical compounds, and multimedia databases and offers essential research for academics working in the interdisciplinary domains of databases, data mining, and multimedia technology.

General

Imprint:	Business Science Reference
Country of origin:	United States
Series:	Advances in Data Mining and Database Management
Release date:	August 2011
First published:	September 2011
Editors:	Sherif Sakr • Eric Pardede
Dimensions:	280 x 216 x 26mm (L x W x T)
Format:	Hardcover
Pages:	346
Edition:	New
ISBN-13:	978-1-61350-053-8
Categories:	Books > Computing & IT > Applications of computing > Databases > General
LSN:	1-61350-053-X
Barcode:	9781613500538

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