Missing value imputation using a semi-supervised rank aggregation approach (2008)
- Authors:
- USP affiliated authors: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC ; MONARD, MARIA CAROLINA - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Heidelberg
- Date published: 2008
- ISBN: 9783540881896
- Source:
- Título do periódico: Lecture Notes in Artificial Intelligence - LNAI
- Volume/Número/Paginação/Ano: v. 5249, p. 217-226, 2008
- Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA 2008
-
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: 18 set. 2024. , 2008 -
APA
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.pdf -
NLM
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 2024 set. 18 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf -
Vancouver
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 2024 set. 18 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf - A study with class imbalance and random sampling for a decision tree learning system
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