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Finding a needle in a haystack: A machine learning framework for anomaly detection in payment systems

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We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are central to …

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From Classical ML to DNNs and GNNs for Real-Time Financial Fraud Detection
César Soto Valero César Soto Valero

Financial transaction fraud is a pervasive problem costing institutions and customers billions annually. This survey reviews the current state-of-the-art in real-time transaction fraud detection, spanning both academic research and industry adopted solutions.

0 inbound links article en financial fraudfraud detectionmachine learningdeep learningsurveytransaction monitoring