ADET: anomaly detection in time series with linear time
Time series data is ubiquitous in financial, biomedical, and other areas. Anomaly detection in time series has been widely researched in these areas. However, most existing algorithms suffer from “curse of dimension” and may lose some information in the process of feature extraction. In this paper,...
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Veröffentlicht in: | International journal of machine learning and cybernetics 2021, Vol.12 (1), p.271-280 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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