International Journal of Management IT and Engineering
  • Year: 2018
  • Volume: 8
  • Issue: 11

Data mining application for credit card fraud detection system

  • Author:
  • S. Padma Priya, D. Usha
  • Total Page Count: 8
  • Page Number: 212 to 219

*Assistant professor & Head, Department of Information Technology, Cumbum

**Assistant professor & Head, Department of Computer Science, Mother Teresa Women's University, Kodaikanal

Online published on 18 October, 2019.

Abstract

In recent days most of the small and large originations have moved their daily businesses to online and provide the services to customers using internet. Credit Card (CC) fraud is one of the major issues in online transaction. In recent year CC fraud or no card frauds are increased in day to day activity. The main reason is most of the customers are using CC for their all kind of payment. So the aim of this paper is to identify the different types of CC fraud and to review the alternative techniques to detect the CC frauds. Therefore secured transaction is required for CC holders when consuming their CC to make electronic payment for purchasing goods. This study different types of fraudsters that commit CC fraud and the type of techniques used by these cyber fraudsters to commit fraud on the internet is discussed