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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Autores principales: Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, Mai Viet Tiep
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
machine learning
deep reinforcement learning
classification
imbalanced data
credit card fraud
resampling techniques
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/7d123f64ba5242b6826b8c4558a006d3
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https://doaj.org/article/7d123f64ba5242b6826b8c4558a006d3

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