A Specialized Evaluation and Comparison of Sample Data Mining Software

John Wang; Xiaohua Hu; Kimberly Hollister; Dan Zhu

doi:10.4018/978-1-60960-783-8.ch3.4

A Specialized Evaluation and Comparison of Sample 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. 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.

Original language	English
Title of host publication	Organizational Learning and Knowledge
Subtitle of host publication	Concepts, Methodologies, Tools and Applications: Volumes 1-4
Publisher	IGI Global
Pages	894-911
Number of pages	18
Volume	2
ISBN (Electronic)	9781609607845
ISBN (Print)	9781609607838
DOIs	https://doi.org/10.4018/978-1-60960-783-8.ch3.4
State	Published - 1 Jan 2011

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10.4018/978-1-60960-783-8.ch3.4

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ER -

A Specialized Evaluation and Comparison of Sample Data Mining Software

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