Experimental Analyses

  • Robert J. Hilderman
  • Howard J. Hamilton
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 638)

Abstract

As mentioned in Chapter 3, our data mining algorithm, All_Gen, has been implemented in the research software tool DGG-Discover. In this chapter, we evaluate the performance of All_Gen in generating summaries from databases. We also evaluate the sixteen diversity measures for ranking the interestingness of the summaries generated, implemented in the research software tool DGGInterest. We present the results of our evaluation against a variety of metrics and describe our general experience.

Keywords

Knowledge Discovery Standard Normal Distribution Multiple Processor Median Index Concept Hierarchy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Robert J. Hilderman
    • 1
  • Howard J. Hamilton
    • 1
  1. 1.University of ReginaCanada

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