A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Design of a Model in Machine Learning For Credit Card Fraud Detection
2022
Computer Engineering and Intelligent Systems
In e-commerce, fraud has become a major problem, and much effort is being invested into identifying and preventing it. Currently, fraud detection and prevention systems are only able to detect and prevent a small percentage of fraudulent transactions, resulting in billions of dollars in losses. Because online transactions are likely to grow dramatically in the coming year, better fraud detection and prevention is critical. We provide a datadriven strategy for estimating the likelihood of a
doi:10.7176/ceis/13-2-06
fatcat:dxrs5icyjzax5kbvoibjkijoo4