MERLIN++: parameter-free discovery of time series anomalies

The burgeoning age of IoT has reinforced the need for robust time series anomaly detection. While there are hundreds of anomaly detection methods in the literature, one definition, time series discords , has emerged as a competitive and popular choice for practitioners. Time series discords are subs...

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Veröffentlicht in:	Data mining and knowledge discovery 2023-03, Vol.37 (2), p.670-709
Hauptverfasser:	Nakamura, Takaaki, Mercer, Ryan, Imamura, Makoto, Keogh, Eamonn
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Artificial Intelligence Chemistry and Earth Sciences Computer Science Data Mining and Knowledge Discovery Information Storage and Retrieval Inspection Parameters Physics Statistics for Engineering Time series
Online-Zugang:	Volltext
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