Data Analysis and Visualization
The chair of Prof. Dr. Daniel A. Keim conducts research in the analysis, exploration and visualization of mass data. We develop novel techniques for visual analysis of business, customer, finance, demoscopic, and network data motivated by applications in customer relationship management (CRM), telecommunications, the financial mark et and network security. We thereby focus on techniques for interactive mass data analysis applied on very large multidimensional and geographic data sets. Furthermore, we deal with clustering methods and index structuresfor high-dimensional spaces in the field of data analysis as well as with applications for multimedia similarity search (2D and 3D).
"Computers are incredibly fast, accurate and stupid: humans are incredibly slow, inaccurate and brilliant; together they are powerful beyond imagination."
-- attributed to Albert Einstein