Litcius/Paper detail

Unsupervised and scalable subsequence anomaly detection in large data series

Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Rémy

2021The VLDB Journal64 citationsDOI

Topics & Concepts

SubsequenceAnomaly detectionComputer scienceMargin (machine learning)Series (stratigraphy)OutlierAnomaly (physics)ScalabilityDomain (mathematical analysis)Data miningPattern recognition (psychology)Artificial intelligenceRange (aeronautics)Similarity (geometry)Machine learningMathematicsImage (mathematics)Condensed matter physicsBiologyPhysicsDatabasePaleontologyComposite materialMathematical analysisBounded functionMaterials scienceAnomaly Detection Techniques and ApplicationsTime Series Analysis and ForecastingNetwork Security and Intrusion Detection