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IJERT-EMS

Comparative Analysis of Various Classification Algorithms in the Case of Fraud Detection


Comparative Analysis of Various Classification Algorithms in the Case of Fraud Detection
Authors : Ankur Rohilla
Publication Date: 12-09-2017

Authors

Author(s):  Ankur Rohilla

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 09 , September - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS090047

Abstract

Credit card payment has become very popular today. Credit card is an easiest way to pay directly through your bank account. But we all know that everything have some pros as well as some cons. In the case of credit card, fraudsters are the main intruder. These intruders can access some unauthorised transactions. It is very important to prevent your account transaction from these intruders. In this paper we used three different classification algorithms (KNN, Neural network, C5.0) for fraud detection.

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