Volume : IV, Issue : VII, July - 2015

Applying Data Mining Tool (Weka) To Study Consumer Acceptance Of E–Banking’

Sulochana Patil, Dr. Sudhakar D. Bhoite

Abstract :

Nowadays the databases are of huge size, so it is difficult to analyze those data. In spite of having ever growing data bases the problem with the banks is that, they fail to fully capitalize the true benefits which can be gained from this great wealth of information. The banking sector has started realizing the need of the techniques like data mining which can help them to compete in the market. This paper highlights the perspective applications of data mining tool WEKA to enhance the performance of some of the core business processes in banking sector. This paper will demonstrate the acceptance of e–banking facility by consumers in sangli district by using two data mining techniques in WEKA: •Classification, •Clustering (Simple K Means).

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Sulochana Patil, Dr. Sudhakar D. Bhoite Applying Data Mining Tool (Weka) to Study Consumer Acceptance of E-Banking¥ International Journal of Scientific Research, Vol : 4, Issue : 7 July 2015

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