Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble

Abstract Credit card fraud detection remains a critical yet challenging task due to the extreme class imbalance inherent in transaction datasets, where fraudulent activities constitute only a small fraction of the total records. To address this imbalance and enhance the detection of rare fraud insta...

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Hlavní autoři:	Mahmoud A. Ghalwash, Samir Mohamed Abdelrazek, Nabila Hamid Eladawi, Haitham A. Ghalwash
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Credit card fraud detection Hybrid ensemble approach Ensemble learning Machine learning Data imbalance Data augmentation
On-line přístup:	https://doi.org/10.1038/s41598-025-22960-w
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