Explainable Time-Series Anomaly Detection Using Transformer Reconstruction and Statistical Scoring
Operational time-series anomaly detection requires accurate event identification, controlled alert generation, and interpretable evidence for detected deviations. A hybrid approach is proposed in this paper, which integrates sequence reconstruction based on Transformer and z-score and interquartile-range (IQR) deviatio...