A Comparison and Scenario Analysis of Leading Data Mining Software
Document Type
Article
Publication Date
1-1-2008
Journal / Book Title
Selected Readings on Information Technology Management: Contemporary Issues
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.
DOI
10.4018/jkm.2008040102
Journal ISSN / Book ISBN
ISBN13: 9781605660929
MSU Digital Commons Citation
Wang, John; Hu, Xiaohua; Hollister, Kimberly; and Zhu, Dan, "A Comparison and Scenario Analysis of Leading Data Mining Software" (2008). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 16.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/16
Published Citation
Wang, J., Hu, X., Hollister, K., & Zhu, D. (2009). A Comparison and Scenario Analysis of Leading Data Mining Software. In G. Kelley (Ed.), Selected Readings on Information Technology Management: Contemporary Issues (pp. 192-210). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-60566-092-9.ch012
