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Graph Data Management: Techniques and Applications (Advances in Data Mining and Database Management) - Hardcover
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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Graph Data Management
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Graph Data Management: Techniques and Applications
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Graph Data Management
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Graph Data Management: Techniques and Applications
Published by
Information Science Reference, 2011
ISBN 10: 161350053X
ISBN 13: 9781613500538
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnGraphs 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 ef. Seller Inventory # 4246483
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Graph Data Management: Techniques and Applications
Published by
Information Science Reference, 2011
ISBN 10: 161350053X
ISBN 13: 9781613500538
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Hardcover
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Graph Data Management : Techniques and Applications
Published by
Information Science Reference, 2011
ISBN 10: 161350053X
ISBN 13: 9781613500538
New
Hardcover
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781613500538
Quantity: 1 available