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Large-scale Graph Analysis: System, Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aw...

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Main Authors: Shao, Yingxia. (Author, http://id.loc.gov/vocabulary/relators/aut), Cui, Bin. (http://id.loc.gov/vocabulary/relators/aut), Chen, Lei. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Big Data Management,
Subjects:
Big data.
Data mining.
Physics.
Management information systems.
Computer science.
Big Data.
Data Mining and Knowledge Discovery.
Applications of Graph Theory and Complex Networks.
Management of Computing and Information Systems.
Online Access:https://doi.org/10.1007/978-981-15-3928-2

Internet

https://doi.org/10.1007/978-981-15-3928-2

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