Research Communication | Open Access
Volume 2019 | Communication ID 131
Volume 2019 | Communication ID 131
| Novel adaptive model for detection of credit card fraud |
Imane Sadgali, Nawal Sael, Faouzia Benabbou
Received |
Accepted |
Published |
Jan 28, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: The detection of credit card fraud is a priority problem for financial institutions and securing this form of payment is no longer an option but rather an obligation. Recent studies have shown that several machine-learning techniques had a good success rate in detecting fraudulent transactions [1]. For credit card fraud, addition constrains must be respected, like: short response time for real-time transactions, low rate of false alarms and the behaviour of the user of the card. The aim of this paper is to propose a framework for credit card fraud detection, which allow us to insure a ...