Credit Card Fraud Detection with Autoencoder and Probabilistic Random Forest

This paper proposes a method, called autoencoder with probabilistic random forest (AE-PRF), for detecting credit card frauds. The proposed AE-PRF method first utilizes the autoencoder to extract features of low-dimensionality from credit card transaction data features of high-dimensionality. It then...

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Autores principales: Tzu-Hsuan Lin, Jehn-Ruey Jiang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/b9a662d924844c6490938fa55e24cbf8
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