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Benchmark Development for the Evaluation of Visualization for Data Mining



Sharon J. Laskowski, Georges Grinstein, Paul Hoffman, R Pickett


New sets of powerful data visualization tools have appeared in the marketplace and in the research community. This, combined with readily available computer memory, speed, and graphics capabilities, makes it possible to explore larger and larger data sets. However, it is difficult to judge the effectiveness of these tools for supporting large scale information exploration and knowledge discovery. In this paper, we describe a set of issues critical to benchmarking and evaluation in this domain. We then propose an approach to constructing an evaluation environment and report on initial results from a prototype environment in which we tested five visualization approaches against nine existing data sets.
- 6287
Report Number


benchmarks, data mining, data visualization, evaluation, knowledge discovery


Laskowski, S. , Grinstein, G. , Hoffman, P. and Pickett, R. (1999), Benchmark Development for the Evaluation of Visualization for Data Mining, - 6287, National Institute of Standards and Technology, Gaithersburg, MD (Accessed April 19, 2024)
Created February 1, 1999, Updated October 16, 2008