This talk presents the potential of visual analytics and discusses the role of automated versus interactive visual techniques in dealing with big data. A variety of application examples ranging from news analysis over network security to SC performance analysis illustrate not only the exiting potential of visual analysis techniques, but also their limitations.
|Dr. Daniel A. Keim|
He has been program co-chair of the IEEE InfoVis and IEEE VAST as well as the ACM SIGKDD conference, and he is member of the IEEE VAST as well as EuroVis steering committees. He is coordinator of the German Science Foundation funded Strategic Research Initiative "Scalable Visual Analytics" and has been scientific coordinator of the European Commission funded Coordination Action "Visual Analytics - Mastering the Information Age (VisMaster)".
Dr. Keim received his Ph.D. and habilitation degrees in computer science from the University of Munich. Before joining the University of Konstanz, Dr. Keim was associate professor at the University of Halle, Germany, and Senior Technology Consultant at AT&T Shannon Research Labs, NJ, USA.