Xingli Wang

STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection

Accurately identifying real anomalies and pseudo-anomalies in complex multi-dimensional time series data has been a difficult problem in time series anomaly detection. To solve this problem, this paper proposes a new framework, STAD, that joint temporal and spatial dimensions. This framework guides…