Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection

The subject matter of this article is enhancing credit card fraud detection systems by exploring the impact of oversampling rates and ensemble methods with diverse feature selection techniques. Credit card fraud has become a major issue in the financial world, leading to substantial losses for both...

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Autores principales:	Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	National Aerospace University «Kharkiv Aviation Institute» 2025-02-01
Colección:	Радіоелектронні і комп'ютерні системи
Materias:	credit card fraud machine learning fraud detection ensemble methods feature selection smote
Acceso en línea:	http://nti.khai.edu/ojs/index.php/reks/article/view/2777
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