Datenanalyse und Visualisierung
Prof. Dr. Daniel A. Keim
A Visual Data Mining and Database Exploration System
Project Group
Prof. Dr. Daniel A. Keim
Prof. Dr. Hans-Peter Kriedel
Mihael Ankerst
Jurai Porada
System Overview
The VisDB has been developed to support the exploration of large database. The VisDB system implements several visual data mining techniques, allowing an exploration of large databases (up-to about one million data values). The techniques supported by the system are- Pixel-oriented Techniques (Spiral, Axes, and Grouping Techniques)
- Parallel Coordinates
- Stick Figures
More information about the system including example screen dumps can be found in the following description (Postscript, 2.5 MB). Publications related to the VisDB system and the visualization techniques implemented as part of the system can be found in the following list of publications.
Software
- Binaries for HPUX 9.x/10.x (compressed tar file, 2 MB)
Binaries static linked for Linux (gzipped tar file, 1.7 MB)
Technical Requirements
- The VisDB is implemented in C++/Motif is currently ported to LINUX.
Contact Information
- If you are interested in obtaining the VisDB System, please, contact Daniel A. Keim.
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