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Invited Talk by Daniel A. Keim

In Session 2 at 10:30-11:10 * — see the Workshop Program.

Visual Analytics: Combining Automated Discovery with Interactive Visualizations

Daniel A. Keim (Department of Computer and Information Science, University of Konstanz, Germany)


In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communicate it to humans in an appropriate way. Approaches, which work either on a purely analytical or on a purely visual level, do not sufficiently help due to the dynamics and complexity of the underlying processes or due to a situation with intelligent opponents. Only a combination of data analysis and visualization techniques make an effective access to the otherwise unmanageably complex data sets possible.

Visual analysis techniques extend the perceptual and cognitive abilities of humans with automatic data analysis techniques, and help to gain insights for optimizing and steering complicated discovery processes. In the talk, I explain how automated discovery and visual analysis methods can be combined, discuss the main challenges of Visual Analytics, and show that combining automatic and visual analysis is the only chance to capture the complex, changing characteristics of the data and to take suitable measures.

Short Biography

Daniel A. Keim is full professor and head of the Data Analysis and Information Visualization Research Group at the University of Konstanz, Germany. He has been actively involved in data analysis and information visualization research for more than 15 years and developed a number of novel visual analysis techniques for very large data sets. He has been program co-chair of the IEEE InfoVis and IEEE VAST symposia as well as the SIGKDD conference, and he is member of the IEEE InfoVis and EuroVis steering committees. He is an associate editor of Palgrave's Information Visualization Journal (since 2001) and the Knowledge and Information System Journal (since 2006), and has been an associate editor of the IEEE Transactions on Visualization and Computer Graphics (1999-2004) and the IEEE Transactions on Knowledge and Data Engineering (2002-2007). He is coordinator of the German Strategic Research Initiative (SPP) on Scalable Visual Analytics and the scientific coordinator of the EU Coordination Action on Visual Analytics.

* Daniel will have a tight arrival. If he is late, the other speakers of the session will give their presentation 40 minutes earlier and Daniel will then give his talk as he arrives.

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