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Jan, 2024
多变量时间序列异常检测的图空时过程与缺失值
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang...
TL;DR
通过提出一种名为GST-Pro的新框架,结合了图形时空过程和异常得分机制来检测多变量时间序列中的异常,即使数据中存在缺失值,该方法也能有效检测并优于现有方法。
Abstract
The detection of
anomalies
in
multivariate time series
data is crucial for various practical applications, including smart power grids, traffic flow forecasting, and industrial process control. However, real-worl
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