Adapting Anomaly Detection Models to Operational Data Changes: Evaluating Blind and Informed Retraining Techniques

Periodic model retraining can significantly improve the performance of anomaly detection models over time, but the choice of retraining technique (blind vs informed) and data (full-history vs sliding window) depends on the specific anomaly detection model.