Fonte: Proceedings. Nome do evento: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS, ELEIÇÕES DIRETAS
ABNT
JACINTHO, Lucas Henrique Mantovani et al. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11979. Acesso em: 30 set. 2024.APA
Jacintho, L. H. M., Silva, T. P. da, Parmezan, A. R. S., & Batista, G. E. de A. P. A. (2020). Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11979NLM
Jacintho LHM, Silva TP da, Parmezan ARS, Batista GE de APA. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.5753/kdmile.2020.11979Vancouver
Jacintho LHM, Silva TP da, Parmezan ARS, Batista GE de APA. Brazilian presidential elections: analysing voting patterns in time and space using a simple data science pipeline [Internet]. Proceedings. 2020 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.5753/kdmile.2020.11979