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. 2017 Jan-Feb;37(1):100-108.
doi: 10.1109/MCG.2017.6.

Sampling for Scalable Visual Analytics

Bum Chul Kwon, Janu Verma, Peter J Haas, Cagatay Demiralp

Sampling for Scalable Visual Analytics

Bum Chul Kwon et al. IEEE Comput Graph Appl. 2017 Jan-Feb.

Abstract

Sampling is becoming an essential tool for scalable interactive visual analysis. After outlining prior work by the database community on sampling for visualization of aggregation queries, this article considers how these results might be improved and extended to a broader setting. The goal is to better understand how users interact with sampling to enable wider adoption of sampling for scalable visual analytics.

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