Investigating the effectiveness of one-class and binary classification for fraud detection

Abstract Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the Medicare Part D dataset, both of whi...

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Autors principals:	Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2023-10-01
Col·lecció:	Journal of Big Data
Matèries:	Binary Classification One-Class Classification Credit Card Fraud Medicare Fraud High Class Imbalance Big Data
Accés en línia:	https://doi.org/10.1186/s40537-023-00825-1
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