Graph Data Management

Techniques and Applications

Nonfiction, Computers, Database Management, General Computing
Cover of the book Graph Data Management by , IGI Global
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Author: ISBN: 9781466605978
Publisher: IGI Global Publication: August 31, 2011
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466605978
Publisher: IGI Global
Publication: August 31, 2011
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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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