Case studies: Public domain, single mining tasks systems: VisDB

Authors:
Daniel A. Keim
Affiliations:
Professor of Computer Science, Database and Visualization Group, University of Constance, Germany/ and Technology Consultant, AT&T Shannon Research Labs, Florham Park, New Jersey
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

Citing 9
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Abstract

The VisDB system is an interactive data visualization and exploration that uses novel pixel-oriented visualization techniques for effective exploration of large multidimensional data sets. Pixel-oriented techniques use each pixel of the display to visualize one data value and therefore allow the visualization of the largest amount of data possible. Using a slider-based direct-manipulation interface, the user may explore the data interactively and discover interesting patterns in the visualizations generated. The system can be used for the discovery of correlations, functional relationships, and clusters. It has proven to be effective even for data sets with small clusters and a high degree of noise. Application areas include stock market analysis, environmental science, computer-aided design, and molecular biology. The pixel-oriented techniques implemented in the VisDB System may be divided into query-independent techniques, which directly visualize the data (or a certain portion of it) and query-dependent techniques, which visualize the relevance of the data with respect to a specific query. Recently, new pixel-oriented techniques have also been developed for geographically related data, such as telecommunication or census data.