Applications of Machine Learning in Fintech Credit Card Fraud Detection

被引:2
作者
Lacruz, Francisco [1 ]
Saniie, Jafar [1 ]
机构
[1] IIT, Dept Elect & Comp Engn, Embedded Comp & Signal Proc ECASP Res Lab, Chicago, IL 60616 USA
来源
2021 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT) | 2021年
关键词
Fintech; Machine Learning; Autoencoder; Credit Card Fraud;
D O I
10.1109/EIT51626.2021.9491903
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fintech utilizes innovative technology to offer improved monetary administrations and financial solutions. According to data from the prediction of Autonomous Research artificial intelligence (AI) technologies will allow financial institutions to reduce their operational costs by 22% by 2030. Throughout this paper, we study how AI and machine learning algorithms can lead to credit card fraud detection. After making the theoretical approach to the subject, we develop two different methods Autoencoder (semi-supervised learning) and Logistic Regression (supervised learning) for fraud detection with a high level of accuracy. The results obtained with both methods are promising as we were able to predict fraud transactions with 94% certainty.
引用
收藏
页码:276 / 281
页数:6
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