Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TELECOMUNICAÇÕES
ABNT
PEREIRA, Fabíola Souza Fernandes et al. Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_11. Acesso em: 02 nov. 2024. , 2019APA
Pereira, F. S. F., Carvalho, A. C. P. de L. F. de, Assis, R., Costa, M., Faria, E. R., Julia, R. M. S., et al. (2019). Feature-based time series classification for service request opening prediction in the telecom industry. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_11NLM
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11Vancouver
Pereira FSF, Carvalho ACP de LF de, Assis R, Costa M, Faria ER, Julia RMS, Barcelos U, Melo J. Feature-based time series classification for service request opening prediction in the telecom industry [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 120-132.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11