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A Comparison and Scenario Analysis of Leading Data Mining Software

Author

Listed:
  • John Wang

    (Montclair State University, USA)

  • Xiaohua Hu

    (Drexel University, USA)

  • Kimberly Hollister

    (Montclair State University, USA)

  • Dan Zhu

    (Iowa State University, USA)

Abstract

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we have used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.

Suggested Citation

  • John Wang & Xiaohua Hu & Kimberly Hollister & Dan Zhu, 2008. "A Comparison and Scenario Analysis of Leading Data Mining Software," International Journal of Knowledge Management (IJKM), IGI Global, vol. 4(2), pages 17-34, April.
    • Handle: RePEc:igg:jkm000:v:4:y:2008:i:2:p:17-34
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    Cited by:

    1. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.

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