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Trabalho de evento-anais periodico
Ensemble clustering for novelty detection in data streams (2019)
Garcia, Kemilly Dearo ; Faria, Elaine Ribeiro de; Sá, Cláudio Rebelo de ; Mendes-Moreira, João ; Aggarwal, Charu C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Discovery Science - DS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33778-0_34. Acesso em: 06 nov. 2025. , 2019
APA
Garcia, K. D., Faria, E. R. de, Sá, C. R. de, Mendes-Moreira, J., Aggarwal, C. C., Carvalho, A. C. P. de L. F. de, & Kok, J. N. (2019). Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-33778-0_34
NLM
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Vancouver
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Trabalho de evento-anais periodico
Feature-based time series classification for service request opening prediction in the telecom industry (2019)
Pereira, Fabíola Souza Fernandes; Carvalho, André Carlos Ponce de Leon Ferreira de ; Assis, Rafael; Costa, Maxley; Faria, Elaine R ; Julia, Rita Maria Silva; Barcelos, Umberto; Melo, Jony
Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TELECOMUNICAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 06 nov. 2025. , 2019
APA
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_11
NLM
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 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11
Vancouver
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 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_11
Trabalho de evento-anais periodico
Improving the AHT in telecommunication companies by automatic modeling of call center service (2019)
Castro Neto, Henrique de; Julia, Rita Maria Silva; Paiva, Elaine Ribeiro Faria ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos Junior, Anisio Pereira; Peres, Diansley Raphael Santos; Julia, Etienne Silva; Melo, Jony Teixeira de; Barcelos, Umberto Maia; Assis, Josiane Esteves de
Source: Lecture Notes in Artificial Intelligence. Conference titles: EPIA Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, SERVIÇO AO CLIENTE, TELECOMUNICAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO NETO, Henrique de et al. Improving the AHT in telecommunication companies by automatic modeling of call center service. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30244-3_9. Acesso em: 06 nov. 2025. , 2019
APA
Castro Neto, H. de, Julia, R. M. S., Paiva, E. R. F., Carvalho, A. C. P. de L. F. de, Santos Junior, A. P., Peres, D. R. S., et al. (2019). Improving the AHT in telecommunication companies by automatic modeling of call center service. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-30244-3_9
NLM
Castro Neto H de, Julia RMS, Paiva ERF, Carvalho ACP de LF de, Santos Junior AP, Peres DRS, Julia ES, Melo JT de, Barcelos UM, Assis JE de. Improving the AHT in telecommunication companies by automatic modeling of call center service [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 96-107.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_9
Vancouver
Castro Neto H de, Julia RMS, Paiva ERF, Carvalho ACP de LF de, Santos Junior AP, Peres DRS, Julia ES, Melo JT de, Barcelos UM, Assis JE de. Improving the AHT in telecommunication companies by automatic modeling of call center service [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11805 96-107.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1007/978-3-030-30244-3_9

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