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Graph Data Management: Techniques and Applications
Published by Information Science Reference, 2011
ISBN 10: 161350053X ISBN 13: 9781613500538
Language: English
US$ 216.82
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Graph Data Management: Techniques and Applications
Published by Information Science Reference, 2011
ISBN 10: 161350053X ISBN 13: 9781613500538
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 230.19
Convert currencyUS$ 16.10 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Graph Data Management: Techniques and Applications
Published by Information Science Reference, 2011
ISBN 10: 161350053X ISBN 13: 9781613500538
Language: English
US$ 249.40
Convert currencyUS$ 57.13 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
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Graph Data Management : Techniques and Applications
Published by Information Science Reference, 2011
ISBN 10: 161350053X ISBN 13: 9781613500538
Language: English
US$ 311.32
Convert currencyUS$ 78.77 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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.
