Shuya Li, Wenbin Song, Chao Zhao, Yifeng Zhang, Weiming Shen 0001, Jing Hai, JiaWei Lu, Yingshi Xie. An Anomaly Detection Method for Multiple Time Series Based on Similarity Measurement and Louvain Algorithm. In Francesco Longo 0002, Michael Affenzeller, Antonio Padovano, editors, Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021. Volume 200 of Procedia Computer Science, pages 1857-1866, Elsevier, 2021. [doi]
@inproceedings{LiSZZ0HLX21,
title = {An Anomaly Detection Method for Multiple Time Series Based on Similarity Measurement and Louvain Algorithm},
author = {Shuya Li and Wenbin Song and Chao Zhao and Yifeng Zhang and Weiming Shen 0001 and Jing Hai and JiaWei Lu and Yingshi Xie},
year = {2021},
doi = {10.1016/j.procs.2022.01.386},
url = {https://doi.org/10.1016/j.procs.2022.01.386},
researchr = {https://researchr.org/publication/LiSZZ0HLX21},
cites = {0},
citedby = {0},
pages = {1857-1866},
booktitle = {Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021},
editor = {Francesco Longo 0002 and Michael Affenzeller and Antonio Padovano},
volume = {200},
series = {Procedia Computer Science},
publisher = {Elsevier},
}