Drift-aware Anomaly Detection for Non-stationary Time Series - researchr publication authors

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Yang Gao 0001, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen. Drift-aware Anomaly Detection for Non-stationary Time Series. In Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal 0001, editors, IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. pages 1095-1100, IEEE, 2023. [doi]

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