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(Ebook) Graph Data Management: Techniques and Applications by Sherif Sakr ISBN 9781613500538, 9781613500545, 9781613500552, 161350053X, 1613500548, 1613500556

  • SKU: EBN-2485708
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Authors:Sherif Sakr
Pages:502 pages.
Year:2011
Editon:1
Publisher:IGI Global
Language:english
File Size:11.76 MB
Format:pdf
ISBNS:9781613500538, 9781613500545, 9781613500552, 161350053X, 1613500548, 1613500556
Categories: Ebooks

Product desciption

(Ebook) Graph Data Management: Techniques and Applications by Sherif Sakr ISBN 9781613500538, 9781613500545, 9781613500552, 161350053X, 1613500548, 1613500556

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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