AntTech
Apr 16, 2018 · Artificial Intelligence
Active PU Learning for Cash‑Out Fraud Detection in Alipay’s AlphaRisk Engine
This article presents an Active PU Learning framework that combines active learning with two‑step positive‑unlabeled learning to improve cash‑out fraud detection in Alipay’s fifth‑generation risk engine, AlphaRisk, achieving three‑fold identification gains over unsupervised methods while reducing labeling costs.
Risk ManagementSemi-supervised Learningactive learning
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