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

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...

Full description

Bibliographic Details
Main Authors: Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Journal of Big Data
Subjects:
Binary Classification
One-Class Classification
Credit Card Fraud
Medicare Fraud
High Class Imbalance
Big Data
Online Access:https://doi.org/10.1186/s40537-023-00825-1

Internet

https://doi.org/10.1186/s40537-023-00825-1

Similar Items