Missing value imputation using a semi-supervised rank aggregation approach (2008)
Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
MATSUBARA, Edson Takashi et al. Missing value imputation using a semi-supervised rank aggregation approach. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf. Acesso em: 05 dez. 2025. , 2008APA
Matsubara, E. T., Prati, R. C., Batista, G. E. de A. P. A., & Monard, M. C. (2008). Missing value imputation using a semi-supervised rank aggregation approach. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdfNLM
Matsubara ET, Prati RC, Batista GE de APA, Monard MC. Missing value imputation using a semi-supervised rank aggregation approach [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 217-226.[citado 2025 dez. 05 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdfVancouver
Matsubara ET, Prati RC, Batista GE de APA, Monard MC. Missing value imputation using a semi-supervised rank aggregation approach [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 217-226.[citado 2025 dez. 05 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf

