A comparison and scenario analysis of leading data mining software

John Wang; Xiaohua Hu; Kimberly Hollister; Dan Zhu

doi:10.4018/978-1-60566-092-9.ch012

A comparison and scenario analysis of leading data mining software

John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu

Information Management and Business Analytics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Selected Readings on Information Technology Management
Subtitle of host publication	Contemporary Issues
Publisher	IGI Global
Pages	192-209
Number of pages	18
ISBN (Print)	9781605660929
DOIs	https://doi.org/10.4018/978-1-60566-092-9.ch012
State	Published - 2008

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A comparison and scenario analysis of leading data mining software

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