Fonte: Lecture Notes in Computer Science. Nome do evento: IFIP WG 8.5 International Conference on Electronic Government - EGOV. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, DIREITOS E GARANTIAS INDIVIDUAIS
ABNT
LIBERA, Caio Della et al. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-15086-9_34. Acesso em: 04 jul. 2025. , 2022APA
Libera, C. D., Miranda, L., Bernardini, F. C., Mastelini, S. M., & Viterbo, J. (2022). ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-15086-9_34NLM
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34Vancouver
Libera CD, Miranda L, Bernardini FC, Mastelini SM, Viterbo J. ‘Right to be forgotten’: analyzing the impact of forgetting data using K-NN algorithm in data stream learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13391 530-542.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-031-15086-9_34