Research Article Open Access

Performance Analysis of Data Mining Tools Cumulating with a Proposed Data Mining Middleware

L. E. Hen1 and S. P. Lee1
  • 1 ,
Journal of Computer Science
Volume 4 No. 10, 2008, 826-833

DOI: https://doi.org/10.3844/jcssp.2008.826.833

Submitted On: 20 August 2008 Published On: 31 October 2008

How to Cite: Hen, L. E. & Lee, S. P. (2008). Performance Analysis of Data Mining Tools Cumulating with a Proposed Data Mining Middleware. Journal of Computer Science, 4(10), 826-833. https://doi.org/10.3844/jcssp.2008.826.833

Abstract

Data mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, namely IBM intelligent miner, SPSS Clementine, SAS enterprise miner, oracle data miner and Microsoft business intelligence development studio. Present studies focus on the performance of these tools. Results provide a review of these tools and propose a data mining middleware adopting the strengths of the tools.

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Keywords

  • knowledge discovery
  • performance metrics
  • test bed