Gapprox: using Gallup approach for approximation in Big Data processing

Gapprox: using Gallup approach for approximation in Big Data processing

Abstract As Big Data processing often takes a long time and needs a lot of resources, sampling and approximate computing techniques may be used to generate a desired Quality of Result. On the other hand, due to not considering data variety, available sample-based approximation approaches suffer from...

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Bibliographic Details
Main Authors: Hossein Ahmadvand, Maziar Goudarzi, Fouzhan Foroutan
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Journal of Big Data
Subjects:
Data variety
Quality of Result
Approximation
Cluster sampling
Online Access:http://link.springer.com/article/10.1186/s40537-019-0185-4

Internet

http://link.springer.com/article/10.1186/s40537-019-0185-4

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