Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty

Large datasets can mean slow queries, for which users must wait. Incremental visualization systems can give faster results at a cost of accuracy. This article asked analysts to use one and report on their results. Their feedback provides suggestions for alternative visualizations to represent a query still in progress.

Exploratory_CGA.pdf
PDF file

In  IEEE Computer Graphics and Applications

Publisher  IEEE

Details

TypeArticle

Previous Versions

Danyel Fisher. Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization, IEEE, 23 October 2011.

Danyel Fisher, Igor Popov, Steven M. Drucker, and mc schraefel. Trust Me, I'm Partially Right: Incremental Visualization Lets Analysts Explore Large Datasets Faster, ACM Conference on Human Factors in Computing Systems, 5 May 2012.

> Publications > Exploratory Visualization Involving Incremental, Approximate Database Queries and Uncertainty