A Specialized Evaluation and Comparison of Sample Data Mining Software

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Author(s): John Wang (Montclair State University, USA), Xiaohua Hu (Drexel University, USA), Kimberly Hollister (Montclair State University, USA)and Dan Zhu (Iowa State University, USA)
Copyright: 2010
Pages: 19
Source title: Ubiquitous Developments in Knowledge Management: Integrations and Trends
Source Author(s)/Editor(s): Murray E. Jennex (San Diego State University, USA)
DOI: 10.4018/978-1-60566-954-0.ch019

Keywords: Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

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

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