Graph Data Management: Techniques and Applications (Advances in Data Mining and Database Management) - Hardcover

 
9781613500538: Graph Data Management: Techniques and Applications (Advances in Data Mining and Database Management)
Hardcover
ISBN 10: 161350053X ISBN 13: 9781613500538
Publisher: Business Science Reference, 2011

Synopsis

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.

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Publisher
Business Science Reference
Publication date
2011
Language
English
ISBN 10 
161350053X
ISBN 13 
9781613500538
Binding
Hardcover
Number of pages
346
Editor
Sakr Sherif, Pardede Eric