LSTD-MTS: Anomaly Detection with Capturing Long-Term Spatio-Temporal Dependence for Multi-dimensional Time Series
Author:
Affiliation:
1. School of Computer, Electronics and Information, Guangxi University, China
Funder
National Natural Science Foundation of China
Nanning Science and Technology project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3671016.3671383
Reference30 articles.
1. Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization
2. Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
3. MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection
4. James D Hamilton. 2020. Time series analysis. Princeton university press.
5. Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station
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