Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm (2012)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/s13173-012-0075-5
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher place: The Netherlands
- Date published: 2012
- Source:
- Título: Journal of the Brazilian Computer Society
- ISSN: 0104-6500
- Volume/Número/Paginação/Ano: v. 18, n. 4, p. 351-362, 2012
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
BARROS, Rodrigo C et al. Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. Journal of the Brazilian Computer Society, v. 18, n. 4, p. 351-362, 2012Tradução . . Disponível em: https://doi.org/10.1007/s13173-012-0075-5. Acesso em: 26 dez. 2025. -
APA
Barros, R. C., Basgalupp, M. P., Carvalho, A. C. P. de L. F. de, & Quiles, M. G. (2012). Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. Journal of the Brazilian Computer Society, 18( 4), 351-362. doi:10.1007/s13173-012-0075-5 -
NLM
Barros RC, Basgalupp MP, Carvalho ACP de LF de, Quiles MG. Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm [Internet]. Journal of the Brazilian Computer Society. 2012 ; 18( 4): 351-362.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s13173-012-0075-5 -
Vancouver
Barros RC, Basgalupp MP, Carvalho ACP de LF de, Quiles MG. Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm [Internet]. Journal of the Brazilian Computer Society. 2012 ; 18( 4): 351-362.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s13173-012-0075-5 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1007/s13173-012-0075-5 (Fonte: oaDOI API)
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