Author:
Germain Thibaut,Truong Charles,Oudre Laurent
Publisher
Springer Nature Switzerland
Reference8 articles.
1. Elangovan, R., Padmavathi, S.: A review on time series motif discovery techniques an application to ECG signal classification: ECG signal classification using time series motif discovery techniques. Int. J. Artif. Intell. Mach. Learn. 9(2), 39–56 (2019)
2. Feng, T., Narayanan, S.S.: Discovering optimal variable-length time series motifs in large-scale wearable recordings of human bio-behavioral signals. In: International Conference on Acoustics, Speech and Signal Processing, pp. 7615–7619. IEEE (2019)
3. Funde, N.A., Dhabu, M.M., Paramasivam, A., Deshpande, P.S.: Motif-based association rule mining and clustering technique for determining energy usage patterns for smart meter data. Sustain. Cities Soc. 46, 101415 (2019)
4. Germain, T., Truong, C., Oudre, L.: Linear-trend normalization for multivariate subsequence similarity search. In: Proceedings of the International Conference on Data Engineering Workshops (ICDEW), Utrecht, Netherlands (2024)
5. Germain, T., Truong, C., Oudre, L.: Persistence-based motif discovery in time series. IEEE Trans. Knowl. Data Eng. (2024). http://www.laurentoudre.fr/publis/TKDE2024