A fast algorithm for complex discord searches in time series: HOT SAX Time
Author:
Funder
Università degli Studi di Milano-Bicocca
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02897-z.pdf
Reference37 articles.
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2. Avogadro P, Palonca L, Dominoni MA (2020) Online anomaly search in time series: significant online discords. Knowledge and Information Systems. https://doi.org/10.1007/s10115-020-01453-4
3. Benchmarksgame-team (2020) The computer language benchmarks game. https://benchmarksgame-team.pages.debian.net/benchmarksgame/
4. Bu Y, Leung T W, Fu A W C, Keogh E, Pei J, Meshkin S (2007) Wat: Finding Top-k discords in time series database. In: Proceedings of the 2007 SIAM International Conference on Data Mining
5. Buu HTQ, Anh DT (2011) Time series discord discovery based on isax symbolic representation. In: 2011 Third International Conference on Knowledge and Systems Engineering, pp 11–18. https://doi.org/10.1109/KSE.2011.11
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