An Interactive Dive into Time-Series Anomaly Detection
Paul Boniol,
John Paparrizos,
Themis Palpanas
Abstract:Anomaly detection is an important problem in data analytics with applications in many domains. In recent years, there has been an increasing interest in anomaly detection tasks applied to time series. In this tutorial, we take a holistic view of anomaly detection in time series, starting from the core definitions and taxonomies related to time series and anomaly types, to an extensive description of the anomaly detection methods proposed by different communities in the literature. We explore the literature and… Show more
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