Fraud Detection Design
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Design a fraud detection system. Key challenges: highly imbalanced classes, real-time scoring requirements, feature engineering from transaction graphs, cost-sensitive decisions (false positive cost vs false negative cost). Often uses ensemble methods and graph features.
Related
- Anomaly Detection (related technique)
- Online Learning (fraud patterns change rapidly)