Journal article
A Comparison and Scenario Analysis of Leading Data Mining Software
International journal of knowledge management, v 4(2), pp 17-34
01 Apr 2008
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.
Metrics
Details
- Title
- A Comparison and Scenario Analysis of Leading Data Mining Software
- Creators
- John Wang - Montclair State UniversityXiaohua Hu - Drexel UniversityKimberly Hollister - Montclair State UniversityDan Zhu - Iowa State University
- Publication Details
- International journal of knowledge management, v 4(2), pp 17-34
- Publisher
- Igi Global
- Number of pages
- 18
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000444123800002
- Scopus ID
- 2-s2.0-47649110736
- Other Identifier
- 991019167449704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Management