
Graph Data Management
Techniques and Applications
Business Science Reference (Publisher)
Published on 31. August 2011
Book
Hardback
346 pages
978-1-61350-053-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Hershey
United States
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 31 mm
Weight
1510 gr
ISBN-13
978-1-61350-053-8 (9781613500538)
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Schweitzer Classification