Research report: INSIGHT: a scalable cluster-based framework with theoretical guarantees for interpretable fraud detection in mixed-feature data
INSIGHT combines mixed-distance clustering, cluster-aware oversampling and interpretability analyses to improve fraud detection in two financial transaction datasets.
