To Study The Consumer Acceptance of E-banking

摘要

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. 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. In other words, it is a process of banking services and products through electronic channels such as telephone, internet, cell phone etc. The concept and scope of E- banking is still evolving. 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 will demonstrate the acceptance of e-banking facility by consumers using two data mining techniques in WEKA: Classification, *Clustering (Simple K Means).