A Survey Of Credit Card Fraud Detection Use Machine Learning
Abrar Hassan Alhazmi, Nojood O. Aljehane · 2020 International Conference on Computing and Information Technology (ICCIT-1441) · 2020
Credit cards have become an important part of the day, and they are being used in areas of payment for a range of sales or transfers from mobile or payment through electronic stores, and their frequent use has increased the rate of fraud and penetration in credit cards. Many technologies were introduced to reduce fraud and all the techniques were doing the same task, but each one has its advantages and disadvantages. In this paper, after researching and looking at the difficulties of highlighting and detecting fraud and credit card fraud, we strive to retrieve, review and mention the arrival of Yemen techniques for detecting fraud in credit cards. The characteristics, whether good or bad, are mentioned for fraud detection and comparison methods. The techniques are mentioned in two fraud detection forms, either supervised or unsupervised. We cited the findings of the experiments they had done.