T‐VAE: Transformer‐Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data

ABSTRACT Anomaly perception in multivariate time series data has crucial applications in various domains such as industrial control and intrusion detection. In real‐world scenarios, the sequence information in multivariate time series data, which encompasses the temporal order and dependencies among...

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Veröffentlicht in:	Expert systems Jg. 42; H. 7
Hauptverfasser:	Li, Chang, Kiat, Yeo Chai, Jing, Jiwu, Long, Chun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.07.2025
Schlagworte:	Ablation anomaly perception Multivariate analysis Perception Representations Sensitivity analysis Time series time series data transformer variational auto‐encoder Volatility
ISSN:	0266-4720, 1468-0394
Online-Zugang:	Volltext
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