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...
Main Authors: | Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-10-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00825-1 |
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