Document Type
Book Chapter
Publication Date
Spring 4-1-2008
Journal / Book Title
International Journal of Knowledge Management (IJKM)
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
DOI:10.4018/jkm.2008040102
MSU Digital Commons Citation
Wang, John; Hu, Xiaohua; Hollister, Kimberly; and Zhu, Dan, "Chapter XII: A Comparison and Scenario Analysis of Leading Data Mining Software" (2008). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 11.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/11
Published Citation
Wang, John, Xiaohua Hu, Kimberly Hollister, and Dan Zhu. "A comparison and scenario analysis of leading data mining software." International Journal of Knowledge Management (IJKM) 4, no. 2 (2008): 17-34.
Included in
Business Administration, Management, and Operations Commons, Business Analytics Commons, Business and Corporate Communications Commons, Communication Technology and New Media Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons, Other Business Commons, Portfolio and Security Analysis Commons, Strategic Management Policy Commons, Technology and Innovation Commons