Guidelines for the application of data mining to the problem of school dropout (2022)
Carvalho, Veronica Oliveira de 
; Penteado, Bruno Elias ; Sousa, Leandro Rondado de; Affonso, Frank José
Fonte: Communications in Computer and Information Science. Nome do evento: International Conference on Computer Supported Education - CSEDU. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, EVASÃO ESCOLAR, REVISÃO SISTEMÁTICA
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ABNT
CARVALHO, Veronica Oliveira de et al. Guidelines for the application of data mining to the problem of school dropout. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-14756-2_4. Acesso em: 07 nov. 2025. , 2022APA
Carvalho, V. O. de, Penteado, B. E., Sousa, L. R. de, & Affonso, F. J. (2022). Guidelines for the application of data mining to the problem of school dropout. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-14756-2_4NLM
Carvalho VO de, Penteado BE, Sousa LR de, Affonso FJ. Guidelines for the application of data mining to the problem of school dropout [Internet]. Communications in Computer and Information Science. 2022 ; 1624 55-72.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-14756-2_4Vancouver
Carvalho VO de, Penteado BE, Sousa LR de, Affonso FJ. Guidelines for the application of data mining to the problem of school dropout [Internet]. Communications in Computer and Information Science. 2022 ; 1624 55-72.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-14756-2_4
