A machine learning framework for anomaly detection in payment systems
By Bank for International Settlements (BIS)
This BIS working paper proposes a novel machine-learning framework for real-time transaction monitoring in high-value payment systems. The framework uses a layered approach. First, a supervised machine learning algorithm identifies and separates "typical" payments from "unusual" payments.
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