A problem-oriented taxonomy groups anomaly detection metrics into six dimensions and experiments show that some popular ones like NAB and Point-Adjust fail to resist random-score inflation.
Graph-augmented normalizing flows for anomaly detection of multiple time series
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A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
A problem-oriented taxonomy groups anomaly detection metrics into six dimensions and experiments show that some popular ones like NAB and Point-Adjust fail to resist random-score inflation.