Francis Thiong'o

A drift adaptive framework for detecting and tracking evolving anomalies in financial transaction streams

Financial fraud detection is increasingly challenged by concept drift, evolving transaction behaviour, and adversarial adaptation, which can degrade conventional anomaly-detection methods under distributional change. Although unsupervised anomaly detection is widely used because labelled fraud data are scarce, most a...