Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Multivariate time-series anomaly detection is critically important in many applications, including retail, transportation, power grid, and water treatment plants. Existing approaches for this problem mostly employ either statistical models which cannot capture the non-linear relations well or conventional deep learning models (e.g., CNN and LSTM) t...
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Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
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TN_cdi_proquest_journals_2838875136
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2838875136
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2307.08390
