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VADETIS : an Explainable Evaluator for Anomaly Detection Techniques

Khelifati, Abdelouahab ; Khayati, Mourad ; Cudré-Mauroux, Philippe ; Hänni, Adrian ; Liu, Qian ; Hauswirth, Manfred

In: IEEE 37th International Conference on Data Engineering (ICDE), 2021, p. 2661--2664

Anomaly detection is a fundamental problem that consists of identifying irregular patterns that do not conform to the expected behavior of a system or the generated data. Many anomaly detection techniques have been proposed for time series data. However, selecting the most suitable detection method remains challenging as the proposed techniques widely vary in performance. The appropriate...