A comparison and scenario analysis of leading data mining software

John Wang, Xiaohua Hu, Kimberly Hollister, Dan Zhu

Research output: Contribution to journalArticle

5 Citations (Scopus)

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 languageEnglish
Pages (from-to)17-34
Number of pages18
JournalInternational Journal of Knowledge Management
Volume4
Issue number2
DOIs
StatePublished - 1 Jan 2008

Fingerprint

Data mining
Analytic hierarchy process
Knowledge management
Scenario analysis
Software
Technology change
Suppliers
Process analysis
Pairwise comparisons
Rationale

Keywords

  • Analytic hierarchy process
  • Business intelligence vendor selection
  • Data mining software
  • Multiple objective decision making

Cite this

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A comparison and scenario analysis of leading data mining software. / Wang, John; Hu, Xiaohua; Hollister, Kimberly; Zhu, Dan.

In: International Journal of Knowledge Management, Vol. 4, No. 2, 01.01.2008, p. 17-34.

Research output: Contribution to journalArticle

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