Cano, Marcos Daniel; Santos, Marilde Terezinha Prado; Avila, Ana Maria H. de; Romani, Luciana A. S; Traina, Agma Juci Machado 
; Ribeiro, Marcela Xavier
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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ABNT
CANO, Marcos Daniel et al. SART: a new association rule method for mining sequential patterns in time series of climate data. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31137-6_56. Acesso em: 17 out. 2024. , 2012APA
Cano, M. D., Santos, M. T. P., Avila, A. M. H. de, Romani, L. A. S., Traina, A. J. M., & Ribeiro, M. X. (2012). SART: a new association rule method for mining sequential patterns in time series of climate data. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31137-6_56NLM
Cano MD, Santos MTP, Avila AMH de, Romani LAS, Traina AJM, Ribeiro MX. SART: a new association rule method for mining sequential patterns in time series of climate data [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 743-757.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_56Vancouver
Cano MD, Santos MTP, Avila AMH de, Romani LAS, Traina AJM, Ribeiro MX. SART: a new association rule method for mining sequential patterns in time series of climate data [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 743-757.[citado 2024 out. 17 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_56
