Searching and mining trillions of time series subsequences under dynamic time warping (2012)
- Authors:
- Rakthanmanon, Thanawin - University of California (UC)
- Campana, Bilson - University of California (UC)
- Mueen, Abdullah - University of California (UC)
- Batista, Gustavo Enrique de Almeida Prado Alves
- Westover, Brandon
- Qiang, Zhu - University of California (UC)
- Zakaria, Jesin - University of California (UC)
- Keogh, Eamonn - University of California (UC)
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1145/2339530.2339576
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- ISBN: 9781450314626
- Source:
- Título: Proceedings
- Conference titles: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
RAKTHANMANON, Thanawin et al. Searching and mining trillions of time series subsequences under dynamic time warping. 2012, Anais.. New York: ACM, 2012. Disponível em: https://doi.org/10.1145/2339530.2339576. Acesso em: 27 jan. 2026. -
APA
Rakthanmanon, T., Campana, B., Mueen, A., Batista, G. E. de A. P. A., Westover, B., Qiang, Z., et al. (2012). Searching and mining trillions of time series subsequences under dynamic time warping. In Proceedings. New York: ACM. doi:10.1145/2339530.2339576 -
NLM
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Searching and mining trillions of time series subsequences under dynamic time warping [Internet]. Proceedings. 2012 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1145/2339530.2339576 -
Vancouver
Rakthanmanon T, Campana B, Mueen A, Batista GE de APA, Westover B, Qiang Z, Zakaria J, Keogh E. Searching and mining trillions of time series subsequences under dynamic time warping [Internet]. Proceedings. 2012 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1145/2339530.2339576 - Evaluating ranking composition methods for multi-objective optimization of knowledge rules
- Quantification in data streams: initial results
- Flying insect classification with inexpensive sensors
- Flying insect detection and classification with inexpensive sensors
- Descoberta de regras de conhecimento utilizando computação evolutiva multi-objetivo
- A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
- Discovering knowledge rules with multi-objective evolutionary computing
- Time series transductive classification on imbalanced data sets: an experimental study
- Counting and classifying mosquitoes from a distance with ultra cheap sensors
- Robust Multi-class Graph Transduction with higher order regularization
Informações sobre o DOI: 10.1145/2339530.2339576 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
