Credit Card Fraud Detection Using State of th...

Credit Card Fraud Detection Using State of the Art Machine Learning and Deep Learning Algorithms

Author Name : P. Rupasree , Mr. T. Kataiah

ABSTRACT People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card holders and financial companies. In this research study, the main aim is to detect such frauds, including the accessibility of public data, high-class imbalance data, the changes in fraud nature, and high rates of false alarm. The relevant literature presents many machines learning based approaches for credit card detection, such as Extreme Learning Method, Decision Tree, Random Forest, Logistic Regression and XG Boost.