Daniel Keim
homepage:http://www.vis.uni-konstanz.de/en/members/keim/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

Daniel A. Keim is full professor and head of the Information Visualization and Data Analysis Research Group at the University of Konstanz, Germany. He has been actively involved in information visualization and data analysis research for about 20 years and developed a number of novel visual analysis techniques for very large data sets with applications to a wide range of application areas including financial analysis, network analysis, geo-spatial analysis, as well as text and multimedia analysis. His research resulted in two recent books “Solving problems with Visual Analytics” and “Interactive Data Visualization” which he both co-authored.

Dr. Keim has been program co-chair of the IEEE InfoVis and IEEE VAST symposia as well as the SIGKDD conference, and he is or was member of the IEEE InfoVis, IEEE VAST, and EuroVis steering committees. He is an associate editor of Palgrave’s Information Visualization Journal (since 2001) and has been an associate editor of the IEEE Transactions on Visualization and Computer Graphics (1999 – 2004), the IEEE Transactions on Knowledge and Data Engineering (2002 – 2007), and the Knowledge and Information System Journal (2006-2011). He is coordinator of the German Strategic Research Initiative (SPP) on Scalable Visual Analytics and he was the scientific coordinator of the EU Coordination Action on Visual Analytics called VisMaster.

Dr. Keim got 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 Technology Consultant at AT&T Shannon Research Labs, NJ, USA.


Lecture:

keynote
locked flag Solving Problems with Visual Analytics: Challenges and Applications
as author at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bristol 2012,
1599 views