most citedGraph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values

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cs.LG2024★ 1 cited

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values

Yu Zheng, Huan Yee Koh, Ming Jin +6

The detection of anomalies in multivariate time series data is crucial for various practical applications, including smart power grids, traffic flow forecasting, and industrial pro…

cs.LG2023

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

Yu Zheng, Huan Yee Koh, Ming Jin +5

Multivariate time-series anomaly detection is critically important in many applications, including retail, transportation, power grid, and water treatment plants. Existing approach…