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Robust Anomaly Detection of Multivariate Time Series Data via Adversarial Graph Attention BiGRU

Multivariate time series data (MTSD) anomaly detection due to complex spatio-temporal dependencies among sensors and pervasive environmental noise. The existing methods struggle to balance anomaly detection accuracy with robustness against data contamination. Hence, this paper proposes a robust mult...

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Gardado en:
Principais autores: Yajing Xing, Jinbiao Tan, Rui Zhang, Jiafu Wan
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2025-05-01
Series:Big Data and Cognitive Computing
Assuntos:
anomaly detection
data fusion
graph attention
multivariate time series data
robustness
Acceso en liña:https://www.mdpi.com/2504-2289/9/5/122
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