425,06 €
472,29 €
-10% with code: EXTRA
Graph Data Management
Graph Data Management
425,06
472,29 €
  • We will send in 10–14 business days.
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 f…
  • Publisher:
  • Year: 2011
  • Pages: 502
  • ISBN-10: 161350053X
  • ISBN-13: 9781613500538
  • Format: 21.6 x 29 x 3.3 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Graph Data Management (e-book) (used book) | bookbook.eu

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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:
  • Year: 2011
  • Pages: 502
  • ISBN-10: 161350053X
  • ISBN-13: 9781613500538
  • Format: 21.6 x 29 x 3.3 cm, hardcover
  • Language: English 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.

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