Performance evaluation of outlier rules for labelling outliers in multidimensional dataset (2021)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SILVA, KELLY CRISTINA RAMOS DA - ICMC
- Unidade: ICMC
- DOI: 10.1504/IJBIDM.2021.117111
- Subjects: RECONHECIMENTO DE PADRÕES; MINERAÇÃO DE DADOS; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: outlier detection; outlier rule; evaluation measure; boxplot; adjusted boxplot; k-NN
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Business Intelligence and Data Mining
- ISSN: 1743-8187
- Volume/Número/Paginação/Ano: v. 19, n. 2, p. 135-152, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Kelly Cristina Ramos da e OLIVEIRA, Helder Luiz Costa de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. International Journal of Business Intelligence and Data Mining, v. 19, n. 2, p. 135-152, 2021Tradução . . Disponível em: https://doi.org/10.1504/IJBIDM.2021.117111. Acesso em: 21 maio 2025. -
APA
Silva, K. C. R. da, Oliveira, H. L. C. de, & Carvalho, A. C. P. de L. F. de. (2021). Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. International Journal of Business Intelligence and Data Mining, 19( 2), 135-152. doi:10.1504/IJBIDM.2021.117111 -
NLM
Silva KCR da, Oliveira HLC de, Carvalho ACP de LF de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 19( 2): 135-152.[citado 2025 maio 21 ] Available from: https://doi.org/10.1504/IJBIDM.2021.117111 -
Vancouver
Silva KCR da, Oliveira HLC de, Carvalho ACP de LF de. Performance evaluation of outlier rules for labelling outliers in multidimensional dataset [Internet]. International Journal of Business Intelligence and Data Mining. 2021 ; 19( 2): 135-152.[citado 2025 maio 21 ] Available from: https://doi.org/10.1504/IJBIDM.2021.117111 - Robust outlier labeling rules for light-tailed and heavy-tailed Data
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Informações sobre o DOI: 10.1504/IJBIDM.2021.117111 (Fonte: oaDOI API)
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