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Systems for Big Graph Analytics
Paperback
Series: Springerbriefs in Computer Science
General ComputersNetworkingProgramming
ISBN13: 9783319582160
Publisher: Springer Nature
Published: Jun 13 2017
Pages: 92
Weight: 0.33
Height: 0.21 Width: 6.14 Depth: 9.21
Language: English
There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment.
Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.
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