Global Advanced Research Journal of Engineering, Technology and Innovation (GARJETI) SSN: 2315-5124 September 2012 Vol. 1(6), pp 131-137

Copyright © 2012 Global Advanced Research Journals   

Original Research Articles

Methodology and tool selection criteria in data mining 

Ogwueleka, Francisca Nonyelum and Okeke, Georgina Nkolika 

Department of Computer Science, Federal University of Technology, Minna, Niger State.

Email: nonnyraymond@yahoo.co.uk Corresponding author Email: nonnyraymond@yahoo.co.uk 

Accepted 20 August 2012

Abstract

The application of data mining algorithms requires the use of powerful software tools.  Data mining and decision support software is expensive and selection of the wrong tools can be costly both in terms of wasted money and time lost. One of the most difficult tasks in the whole data mining process is to choose the right data mining tool (software), as data mining is evolving and maturing and many organizations are incorporating this technology into their business practices; the number of available tools continues to grow, the selection of the most suitable tool becomes increasingly difficult. This paper proposes a methodology for selecting the best among the assortment of commercially available data mining software tools. 

Keywords: Data mining, algorithm, methodology, data mining tools, knowledge discovery