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Filtros : "Dinamarca" "Financiado pelo NSERC, Canada" Removidos: "Mascarenhas, Yvonne Primerano" "Financiamento ANP" "FOB" Limpar

Filtros

Artigo de periodico
Internal evaluation of unsupervised outlier detection (2020)
Marques, Henrique Oliveira; Campello, Ricardo José Gabrielli Barreto ; Sander, Jörg ; Zimek, Arthur
Fonte: ACM Transactions on Knowledge Discovery from Data. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARQUES, Henrique Oliveira et al. Internal evaluation of unsupervised outlier detection. ACM Transactions on Knowledge Discovery from Data, v. 14, n. 4, p. 47:1-47:42, 2020Tradução . . Disponível em: https://doi.org/10.1145/3394053. Acesso em: 12 jul. 2024.
APA
Marques, H. O., Campello, R. J. G. B., Sander, J., & Zimek, A. (2020). Internal evaluation of unsupervised outlier detection. ACM Transactions on Knowledge Discovery from Data, 14( 4), 47:1-47:42. doi:10.1145/3394053
NLM
Marques HO, Campello RJGB, Sander J, Zimek A. Internal evaluation of unsupervised outlier detection [Internet]. ACM Transactions on Knowledge Discovery from Data. 2020 ; 14( 4): 47:1-47:42.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1145/3394053
Vancouver
Marques HO, Campello RJGB, Sander J, Zimek A. Internal evaluation of unsupervised outlier detection [Internet]. ACM Transactions on Knowledge Discovery from Data. 2020 ; 14( 4): 47:1-47:42.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1145/3394053
Artigo de periodico
A unified view of density-based methods for semi-supervised clustering and classification (2019)
Gertrudes, Jadson Castro ; Zimek, Arthur ; Sander, Jörg ; Campello, Ricardo José Gabrielli Barreto
Fonte: Data Mining and Knowledge Discovery. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GERTRUDES, Jadson Castro et al. A unified view of density-based methods for semi-supervised clustering and classification. Data Mining and Knowledge Discovery, v. No 2019, n. 6, p. 1894-1952, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10618-019-00651-1. Acesso em: 12 jul. 2024.
APA
Gertrudes, J. C., Zimek, A., Sander, J., & Campello, R. J. G. B. (2019). A unified view of density-based methods for semi-supervised clustering and classification. Data Mining and Knowledge Discovery, No 2019( 6), 1894-1952. doi:10.1007/s10618-019-00651-1
NLM
Gertrudes JC, Zimek A, Sander J, Campello RJGB. A unified view of density-based methods for semi-supervised clustering and classification [Internet]. Data Mining and Knowledge Discovery. 2019 ; No 2019( 6): 1894-1952.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1007/s10618-019-00651-1
Vancouver
Gertrudes JC, Zimek A, Sander J, Campello RJGB. A unified view of density-based methods for semi-supervised clustering and classification [Internet]. Data Mining and Knowledge Discovery. 2019 ; No 2019( 6): 1894-1952.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1007/s10618-019-00651-1

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