The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning

The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning

This article studies the development of a reliable AI model to detect fraudulent bank transactions, including money laundering, and illegal activities with goods and services. The proposed machine learning model uses the CreditCardFraud dataset and utilizes multiple algorithms with different paramet...

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Bibliographic Details
Main Authors: Alexey Ruchay, Elena Feldman, Dmitriy Cherbadzhi, Alexander Sokolov
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Mathematics
Subjects:
bank transactions
imbalanced classification
detection of fraudulent transactions
machine learning
Online Access:https://www.mdpi.com/2227-7390/11/13/2862

Internet

https://www.mdpi.com/2227-7390/11/13/2862

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