Novel Machine Learning Based Credit Card Fraud Detection Systems
X Feng, SK Kim - Mathematics, 2024 - mdpi.com
This research deals with the critical issue of credit card fraud, a problem that has escalated
in the last decade due to the significant increase in credit card usage, largely driven by …
in the last decade due to the significant increase in credit card usage, largely driven by …
A Novel Hybrid Method for Imbalanced Automobile Insurance Fraud Detection
P Aiemsuwan, S Srikamdee - 2024 16th International …, 2024 - ieeexplore.ieee.org
This paper addresses fraud detection in the automobile insurance sector, which experiences
the highest rate of fraudulent claims in the industry. The study proposes a methodology that …
the highest rate of fraudulent claims in the industry. The study proposes a methodology that …
Generative Adversarial Networks in Fraud Detection: A Systematic Literature Review
M Wang, O El-Gayar - 2024 - aisel.aisnet.org
Fraud detection has become an important part of modern society. Traditional fraud detection
techniques struggle with unbalanced data because of the lack of data representing …
techniques struggle with unbalanced data because of the lack of data representing …
[PDF][PDF] FMDB Transactions on Sustainable Technoprise Letters
MA Thinesh, SSM Varmann, SL Sharmila, SR Das - 2023 - researchgate.net
Credit card fraud significantly threatens financial institutions and consumers worldwide. To
address this issue, this project leverages machine learning techniques, specifically a …
address this issue, this project leverages machine learning techniques, specifically a …
[PDF][PDF] Modern Deep Learning Techniques for Credit Card Fraud Detection: A Review (2019 to 2023)
R Banger - researchgate.net
This paper presents a review of different deep learning approaches for credit-card fraud
detection, proposed between 2019 and 2023 inclusive. The paper discusses the …
detection, proposed between 2019 and 2023 inclusive. The paper discusses the …