Thi Phuong Quyen Nguyen, Trung Nghia Tran, Ton Nu Huong Giang Hoang, Thanh Tung Nguyen. Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Volume 14074 of Lecture Notes in Computer Science, pages 221-229, Springer, 2023. [doi]
@inproceedings{NguyenTHN23,
title = {Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence},
author = {Thi Phuong Quyen Nguyen and Trung Nghia Tran and Ton Nu Huong Giang Hoang and Thanh Tung Nguyen},
year = {2023},
doi = {10.1007/978-3-031-36021-3_21},
url = {https://doi.org/10.1007/978-3-031-36021-3_21},
researchr = {https://researchr.org/publication/NguyenTHN23},
cites = {0},
citedby = {0},
pages = {221-229},
booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II},
editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {14074},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-36021-3},
}