Deep Learning Methods for Credit Card Fraud Detection

by   Thanh Thi Nguyen, et al.

Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and both the merchants and financial institutions bear heavy losses. Some major challenges in credit card frauds involve the availability of public data, high class imbalance in data, changing nature of frauds and the high number of false alarms. Machine learning techniques have been used to detect credit card frauds but no fraud detection systems have been able to offer great efficiency to date. Recent development of deep learning has been applied to solve complex problems in various areas. This paper presents a thorough study of deep learning methods for the credit card fraud detection problem and compare their performance with various machine learning algorithms on three different financial datasets. Experimental results show great performance of the proposed deep learning methods against traditional machine learning models and imply that the proposed approaches can be implemented effectively for real-world credit card fraud detection systems.



There are no comments yet.


page 1

page 6

page 7


Credit card fraud detection using machine learning: A survey

Credit card fraud has emerged as major problem in the electronic payment...

Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection

Spurious credit card transactions are a significant source of financial ...

Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data

Machine learning has automated much of financial fraud detection, notify...

Some Experimental Issues in Financial Fraud Detection: An Investigation

Financial fraud detection is an important problem with a number of desig...

Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations

Fraudulent activities are an expensive problem for many financial instit...

A comparative study on machine learning models combining with outlier detection and balanced sampling methods for credit scoring

Peer-to-peer (P2P) lending platforms have grown rapidly over the past de...

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning

Credit investigation is critical for financial services. Whereas, tradit...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.