Publication | Open Access

Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods

Anomaly DetectionEngineeringData ScienceData MiningPattern RecognitionOutlier DetectionKnowledge DiscoveryState-of-the-art MethodsNovelty DetectionTemporal Pattern RecognitionComputer ScienceExtensive EvaluationForecastingSignal ProcessingStatisticsNonlinear Time Series