A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets

In several earlier studies, machine learning (ML) has been widely explored for fraud detection. However, fraud detection is still a challenging problem. This is due to the imbalanced nature of fraud data, which leads to underperformance by most models in detecting a few fraud cases. Undetected frau...

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Xehetasun bibliografikoak

Egile Nagusiak:	Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nigerian Society of Physical Sciences 2025-02-01
Saila:	Journal of Nigerian Society of Physical Sciences
Gaiak:	Imbalanced dataset Ensemble Approach Fraud detection Stacking algorithm Synthetic Minority Oversampling Technique (SMOTE)
Sarrera elektronikoa:	https://journal.nsps.org.ng/index.php/jnsps/article/view/2066
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