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Graph Data Management: Techniques and Applications

Graph Data Management: Techniques and Applications

Copyright: © 2012 |Pages: 502
ISBN13: 9781613500538|ISBN10: 161350053X|EISBN13: 9781613500545
DOI: 10.4018/978-1-61350-053-8
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MLA

Sakr, Sherif, and Eric Pardede, editors. Graph Data Management: Techniques and Applications. IGI Global, 2012. https://doi.org/10.4018/978-1-61350-053-8

APA

Sakr, S. & Pardede, E. (Eds.). (2012). Graph Data Management: Techniques and Applications. IGI Global. https://doi.org/10.4018/978-1-61350-053-8

Chicago

Sakr, Sherif, and Eric Pardede, eds. Graph Data Management: Techniques and Applications. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-053-8

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
Basic Challenges of Data Management in Graph Databases
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Advanced Querying and Mining Aspects of Graph Databases
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Graph Database Applications in Various Domains
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Back Materials
About the Contributors
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Index
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