Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

The problem of imbalanced datasets is a significant concern when creating reliable credit card fraud (CCF) detection systems. In this work, we study and evaluate recent advances in machine learning (ML) algorithms and deep reinforcement learning (DRL) used for CCF detection systems, including fraud...

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Bibliographic Details
Main Authors: Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, Mai Viet Tiep
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
machine learning
deep reinforcement learning
classification
imbalanced data
credit card fraud
resampling techniques
Online Access:https://www.mdpi.com/2076-3417/11/21/10004

Internet

https://www.mdpi.com/2076-3417/11/21/10004

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