High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Data Mining Application in Credit Card Fraud Detection System

Author(s):

T. Nandhini , Dr.SNS Rajalakshmi College Of Arts and Science; T. Sathiyabama, Dr.SNS Rajalakshmi College of arts and science

Keywords:

Fraud Detection, Computer Intrusion, Knowledge Discovery, Neural Network, Credit Bureaux, Data Mining Techniques, Cyber Credit Card Fraud, Cyber Credit‐Card Fraudsters, Black‐Hat Hackers

Abstract

Telecommunication marketplace all over the world is facing a severe failure of revenue due to fierce struggle and loss of revenue due to fraud. To persist in the market, telecom operators usually offer a change of data mining techniques for fraud detection. Credit card fraud can be well-defined as "Unauthorized account" activity by a person for which the account was not planned. Fraud detection involves finding Fraud as quickly as possible once it has been performed .Fraud can happen with any type of credit products, such as personal loans, home loans, and sales. Furthermore, the face of fraud has altered totally during the last few periods as technologies have altered and established.

Other Details

Paper ID: IJSRDV6I70100
Published in: Volume : 6, Issue : 7
Publication Date: 01/10/2018
Page(s): 160-162

Article Preview

Download Article