Online Data Drift Detection for Anomaly Detection Services based on Deep Learning towards Multivariate Time Series
Author:
Affiliation:
1. Sun Yat-sen University,School of Systems Science and Engineering,Guangzhou,China
2. Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10366457/10366528/10366704.pdf?arnumber=10366704
Reference54 articles.
1. MST-GAT: A multimodal spatial–temporal graph attention network for time series anomaly detection
2. Deep learning for time series anomaly detection: A survey;Darban;arXiv preprint arXiv:2211.05244,2022
3. Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges
4. Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
5. MLOps - Definitions, Tools and Challenges
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