@inproceedings{d919d7a90c51440e93c063397f319efa,
title = "Performance Analysis of Machine Learning Algorithms in Credit Cards Fraud Detection",
abstract = "Credit cards are very commonly used in making online payments. In recent years' frauds are reported which are accomplished using credit cards. It is very difficult to detect and prevent the fraud which is accomplished using credit card. Machine Learning(ML) is an Artificial Intelligence (AI) technique which is used to solve many problems in science and engineering. In this paper, machine learning algorithms are applied on a data set of credit cards frauds and the power of three machine learning algorithms is compared to detect the frauds accomplished using credit cards. The accuracy of Random Forest machine learning algorithm is best as compared to Decision Tree and XGBOOST algorithms.",
keywords = "Artificial Intelligence, Credit Cards Fraud Detection, Machine Learning",
author = "Vinod Jain and Mayank Agrawal and Anuj Kumar",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 8th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2020 ; Conference date: 04-06-2020 Through 05-06-2020",
year = "2020",
month = jun,
day = "1",
doi = "10.1109/ICRITO48877.2020.9197762",
language = "English",
series = "ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "86--88",
booktitle = "ICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)",
address = "United States",
}