I would like to invite you to the next talk in the Dresden Talks on Interaction & Visualization and CPEC talk series.
Thursday, 20. Februar 13:00 Uhr, APB 1004 (Ratssaal):
Priv. Doz. Dr.-Ing. habil. Christian Tominski (Computer Graphics Group, Institute for Visual and Analytic Computing, University of Rostock, Germany)
The core idea of visual analytics is to support humans in analyzing data with a combination of visual, interactive, and computational methods. That is, the computer does not replace the human in data analysis scenarios, but it helps the human. Such human-in-the-loop data analyses reach their limits when the data are large and complex. The talk will discuss guidance and progression as two approaches to enhance visual analytics. The goal of guidance is to keep the analysis loop going on the human side. Following the introduction of a conceptual model of guidance for visual analytics, concrete techniques for guiding the exploration of time-series data and hierarchically clustered graphs will be presented. The goal of progression is to keep the analysis loop going on the computer’s side. In progressive visual analytics, data are no longer processed as a whole, but instead the data are split into chunks and calculations are performed progressively. This makes it possible to reduce latency by showing increasingly accurate partial results as soon as they are available.