Benchmark Development for the Evaluation of Visualization for Data Mining (Classic Reprint) - Tapa dura

Sinopsis

Excerpt from Benchmark Development for the Evaluation of Visualization for Data Mining

We are currently seeing a rapid growth in the development of tools and techniques for supporting knowledge discovery in databases (kdd). 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. While this trend has served to increase the interest and effort of corporations in exploring their data for hidden nuggets of information, these visualization tools are not well integrated with data mining software, and it is difficult to judge the effectiveness of either the visualizations or the data mining.

To remedy the situation, it is becoming increasingly important to develop appropriate data sets and reproducible benchmark tests to identify the current best practices and to steer development of future systems.

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