Review
Open access
Oct 2026
Machine learning models and algorithms for fraud monitoring: a systematic review.
An analysis of publications revealed that Random Forest and Logistic Regression are the most frequently used algorithms in building anti-fraud systems, while Isolation Forest and the Bayesian algorithm are among the least popular.
N. Krainov, L. K. Bobrov
· Vestnik NSUEM · 0 citations