STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship

Keyu Chen; Guoping Zhao; Zhenfeng Yao; Zhihong Zhang

doi:10.1007/978-3-031-46661-8_6

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STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship

Keyu Chen Guoping Zhao Zhenfeng Yao Zhihong Zhang

Year: 2023 Lecture notes in computer science Pages: 73-87 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-46661-8_6

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Keywords:

Multivariate statistics Anomaly detection Computer science Anomaly (physics) Series (stratigraphy) Graph Time series Artificial intelligence Data mining Interpretation (philosophy) Pattern recognition (psychology) Machine learning Theoretical computer science

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship

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