Visual analytics science and technology

The second Visual Analytics Science and Technology (VAST) contest's data consisted of a heterogeneous synthetic collection of news articles with additional supporting files and contained a scenario with embedded threats that provided ground truth. Using visual analytic tools, participants sought evidence of illegal and terrorist activities. We describe the contest and the evaluation methodology. We report results and lessons learned.

• Type: Journal
• Year: 2008
• Where: IVS
• Authors: William Ribarsky, John Dill
• Keywords: Heterogeneous Synthetic Collection, IVS 2008, Visual Analytic, Visual Analytics Science