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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nigerian Society of Physical Sciences 2025-02-01
Schriftenreihe:Journal of Nigerian Society of Physical Sciences
Schlagworte:
Imbalanced dataset
Ensemble Approach
Fraud detection
Stacking algorithm
Synthetic Minority Oversampling Technique (SMOTE)
Online-Zugang:https://journal.nsps.org.ng/index.php/jnsps/article/view/2066
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