Main Graph Data Management: Techniques and Applications Edition: 1

Graph Data Management: Techniques and Applications Edition: 1

Name: Graph Data Management: Techniques and Applications Edition: 1
Rating: 5.0 (4 reviews)
ISBN: 9781613500538

Sherif Sakr, Sherif Sakr, Eric Pardede

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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.

Request Code : ZLIB.IO17635982

Categories:

Year:

2022

Publisher:

IGI Global

Language:

English

ISBN 10:

161350053X

ISBN 13:

9781613500538