EACImpute: an evolutionary algorithm for clustering-based imputation (2009)
- Authors:
- Autor USP: HRUSCHKA, EDUARDO RAUL - ICMC
- Unidade: ICMC
- DOI: 10.1109/ISDA.2009.86
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2009
- ISBN: 9781424447350
- Source:
- Título: Proceedings
- Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul. EACImpute: an evolutionary algorithm for clustering-based imputation. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.86. Acesso em: 13 mar. 2026. -
APA
Silva, J. de A., & Hruschka, E. R. (2009). EACImpute: an evolutionary algorithm for clustering-based imputation. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.86 -
NLM
Silva J de A, Hruschka ER. EACImpute: an evolutionary algorithm for clustering-based imputation [Internet]. Proceedings. 2009 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/ISDA.2009.86 -
Vancouver
Silva J de A, Hruschka ER. EACImpute: an evolutionary algorithm for clustering-based imputation [Internet]. Proceedings. 2009 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/ISDA.2009.86 - On the influence of imputation in classification: practical issues
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