ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series

Multivariate time series anomaly detection has made significant progress and has been studied in many fields. One of the difficulties in time-series data analysis is the complex nonlinear dependencies between multiple time steps and multiple variables. Therefore, detecting anomalies in these data is...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2023-06, Vol.44 (6), p.9039-9051
Hauptverfasser:	He, Qiang, Wang, Guanqun, Huo, Lianzhi, Wang, Hengyou, Zhang, Changlun
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Autocorrelation Autoregressive models Complexity Data analysis Multivariate analysis Neural networks Time series
Online-Zugang:	Volltext
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