Fonte: Proceedings. Nome do evento: IEEE International Conference on Machine Learning and Applications - ICMLA. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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PARMEZAN, Antonio Rafael Sabino e BATISTA, Gustavo Enrique de Almeida Prado Alves. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction. 2015, Anais.. Los Alamitos: CPS, 2015. Disponível em: https://doi.org/10.1109/ICMLA.2015.174. Acesso em: 23 nov. 2025.APA
Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2015). A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2015.174NLM
Parmezan ARS, Batista GE de APA. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction [Internet]. Proceedings. 2015 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/ICMLA.2015.174Vancouver
Parmezan ARS, Batista GE de APA. A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction [Internet]. Proceedings. 2015 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/ICMLA.2015.174
