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Artigo de periodico
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study (2016)
Campos, Guilherme O; Zimek, Arthur; Sander, Jörg; Campello, Ricardo José Gabrielli Barreto; Micenková, Barbora; Schubert, Erich; Assent, Ira; Houle, Michael E
Fonte: Data Mining and Knowledge Discovery. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMPOS, Guilherme O et al. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, v. 30, n. 4, p. 891-927, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10618-015-0444-8. Acesso em: 12 nov. 2025.
APA
Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., et al. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30( 4), 891-927. doi:10.1007/s10618-015-0444-8
NLM
Campos GO, Zimek A, Sander J, Campello RJGB, Micenková B, Schubert E, Assent I, Houle ME. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 4): 891-927.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-015-0444-8
Vancouver
Campos GO, Zimek A, Sander J, Campello RJGB, Micenková B, Schubert E, Assent I, Houle ME. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study [Internet]. Data Mining and Knowledge Discovery. 2016 ; 30( 4): 891-927.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-015-0444-8
Artigo de periodico
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies (2013)
Campello, Ricardo José Gabrielli Barreto; Moulavi, D; Zimek, A; Sander, J
Fonte: Data Mining and Knowledge Discovery. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMPELLO, Ricardo José Gabrielli Barreto et al. A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery, v. 27, n. 3, p. 344-371, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10618-013-0311-4. Acesso em: 12 nov. 2025.
APA
Campello, R. J. G. B., Moulavi, D., Zimek, A., & Sander, J. (2013). A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery, 27( 3), 344-371. doi:10.1007/s10618-013-0311-4
NLM
Campello RJGB, Moulavi D, Zimek A, Sander J. A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies [Internet]. Data Mining and Knowledge Discovery. 2013 ; 27( 3): 344-371.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-013-0311-4
Vancouver
Campello RJGB, Moulavi D, Zimek A, Sander J. A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies [Internet]. Data Mining and Knowledge Discovery. 2013 ; 27( 3): 344-371.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-013-0311-4
Artigo de periodico
Cluster ensemble selection based on relative validity indexes (2013)
Naldi, M. C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Campello, Ricardo José Gabrielli Barreto
Fonte: Data Mining and Knowledge Discovery. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NALDI, M. C e CARVALHO, André Carlos Ponce de Leon Ferreira de e CAMPELLO, Ricardo José Gabrielli Barreto. Cluster ensemble selection based on relative validity indexes. Data Mining and Knowledge Discovery, v. 27, n. 2, p. 259-289, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10618-012-0290-x. Acesso em: 12 nov. 2025.
APA
Naldi, M. C., Carvalho, A. C. P. de L. F. de, & Campello, R. J. G. B. (2013). Cluster ensemble selection based on relative validity indexes. Data Mining and Knowledge Discovery, 27( 2), 259-289. doi:10.1007/s10618-012-0290-x
NLM
Naldi MC, Carvalho ACP de LF de, Campello RJGB. Cluster ensemble selection based on relative validity indexes [Internet]. Data Mining and Knowledge Discovery. 2013 ; 27( 2): 259-289.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-012-0290-x
Vancouver
Naldi MC, Carvalho ACP de LF de, Campello RJGB. Cluster ensemble selection based on relative validity indexes [Internet]. Data Mining and Knowledge Discovery. 2013 ; 27( 2): 259-289.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s10618-012-0290-x

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