Test Data Sets for Evaluating Data Visualization Techniques

نویسندگان

  • R. Daniel Bergeron
  • Daniel A. Keim
  • Ronald M. Pickett
چکیده

In this paper we take a step toward addressing a pressing general problem in the development of data visualization systems — how to measure their effectiveness. The step we take is to define a model for specifying the generation of test data that can be employed for standardized and quantitative testing of a system’s performance. These test data sets, in conjunction with appropriate testing procedures, can provide a basis for certifying the effectiveness of a visualization system and for conducting comparative studies to steer system development.

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تاریخ انتشار 1995