TeraScope: Visual Tera Mining

TeraScope is a massively parallelized set of information visualization tools for Visual Data Mining. It consists of new algorithms and tools to interactively query and mine terabyte datasets, correlate the data, and then visualize the data using parallelized rendering software on tiled displays. TeraScope's main foci are to develop techniques for creating TeraMaps (visualizations that summarize rather than plot enormous datasets) and to develop a distributed memory cache that collects pools of memory from optically connected computer clusters. These caches are used by TeraScope to bridge the impedance mismatch between large and slow distributed data stores and fast local memory. TeraScope currently works with Project DataSpace's distributed data servers; however, it can be adapted to work with other database systems.

Contact
Jason Leigh
Electronic Visualization Laboratory (EVL) University of Illinois at Chicago (UIC), USA
spiff@evl.uic.edu

Collaborators
Jason Leigh, Charles Zhang, EVL at UIC, USA
Robert Grossman, Sivakumar Harinath, Marco Mazzucco, National Center for Data Mining (NCDM) at UIC, USA

http://www.evl.uic.edu/cavern/teranode/terascope http://www.dataspaceweb.net/