• Himanshi
• Rainu Nandal
• Aarushi

Now-a-days world has become digital. Everything is electronically available to the people. People pay using e-banking service. In that case how can we decide about the people who will use this service in future as well? Two classification techniques of data mining are used to know who will do e-banking transactions in future. The result of prediction will be based on the previous available data (regarding customers like number of transactions done by them, etc.) to the banks. This is called prediction analysis. Comparison analysis between the results of different techniques used has also been done. WEKA data mining tool has been used for the research.

WEKA tool, J48 Decision algorithm, naïve bayes algorithm, E-Banking.

"A RESEARCH PAPER ON PREDICTION ANALYSIS: Acceptance of E-Banking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.381-387, February-2019, Available :http://www.jetir.org/papers/JETIR1902A57.pdf

"A RESEARCH PAPER ON PREDICTION ANALYSIS: Acceptance of E-Banking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp381-387, February-2019, Available at : http://www.jetir.org/papers/JETIR1902A57.pdf