Ahmed Elgohary, Matthias Boehm, et al.
CACM
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.
Ahmed Elgohary, Matthias Boehm, et al.
CACM
Bum Chul Kwon, Ben Eysenbach, et al.
IEEE TVCG
Kevin Beyer, Rainer Gemulla, et al.
Communications of the ACM
Cagatay Demiralp, Peter J. Haas, et al.
VLDB 2017