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A Comparison and Scenario Analysis of Leading Data Mining Software

A Comparison and Scenario Analysis of Leading Data Mining Software

John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu
Copyright: © 2008 |Volume: 4 |Issue: 2 |Pages: 18
ISSN: 1548-0666|EISSN: 1548-0658|ISSN: 1548-0666|EISBN13: 9781615203963|EISSN: 1548-0658|DOI: 10.4018/jkm.2008040102
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MLA

Wang, John, et al. "A Comparison and Scenario Analysis of Leading Data Mining Software." IJKM vol.4, no.2 2008: pp.17-34. http://doi.org/10.4018/jkm.2008040102

APA

Wang, J., Hu, X., Hollister, K., & Zhu, D. (2008). A Comparison and Scenario Analysis of Leading Data Mining Software. International Journal of Knowledge Management (IJKM), 4(2), 17-34. http://doi.org/10.4018/jkm.2008040102

Chicago

Wang, John, et al. "A Comparison and Scenario Analysis of Leading Data Mining Software," International Journal of Knowledge Management (IJKM) 4, no.2: 17-34. http://doi.org/10.4018/jkm.2008040102

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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.

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