Credit Card Fraud Detection Using Bayesian and Neural Networks
Sam Maes, Karl Tuyls, Bram Vanschoenwinkel, Bernard Manderick · 2002
This paper discusses automated credit card fraud detection by means of machine learning. In an era of digitalization, credit card fraud detection is of great importance to financial institutions. We apply two machine learning techniques suited for reasoning under uncertainty: artificial neural networks and Bayesian belief networks to the problem and show their significant results on real world financial data. Finally, future directions are indicated to improve both techniques and results.