By offering a comprehensive perspective of ranking fraud detection system, we propose a system that ... accuracy Naive Bayes with 83% , Logistic Regression with 84% and Decision tree with 85% accuracy ...

The project is focused on building an Insurance Fraud ... Detection model using Intel OneAPI which can classify Insurance Fraud into two categories 0(Fraud Reported ) and 1(Fraud not reported). The ...

This paper discusses the importance of fraud detection methods and compares Hidden Markov Model, Deep Learning, and Neural Network that are used to detect fraud in online banking transactions.

The program has so far helped streamline fraud identification ... systems use tree-based models both for classification and regression problems. Mathias said that HHS has also started using new AI ...