"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Numerical particle simulations and astronomical observations create huge data sets containing uncorrelated 3D points of varying size. These data sets cannot be visualized interact...
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
In this paper, we propose a new technique for hardware accelerated multi-resolution geometry synthesis. The level of detail for a given viewpoint is created on-the-fly, allowing f...
Treemaps are a well-known method for the visualization of attributed hierarchical data. Previously proposed Treemap layout algorithms are limited to rectangular shapes, which caus...