title: Sampling for Scalable Visual Analytics.
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.
authors.forename: Bum Chul
authors.initials: BC
authors.lastname: Kwon
authors.forename: Janu
authors.initials: J
authors.lastname: Verma
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Haas
authors.forename: Cagatay
authors.initials: C
authors.lastname: Demiralp