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Filtros : "Journal of Information and Data Management - JIDM" "RECONHECIMENTO DE PADRÕES" Removido: "Financiado pelo CNPq" Limpar

Filtros

Artigo de periodico
Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback (2017)
Costa, Arthur F. da; Manzato, Marcelo Garcia ; Campello, Ricardo José Gabrielli Barreto
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback. Journal of Information and Data Management - JIDM, v. 8, n. 3, p. 180-196, 2017Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/4560. Acesso em: 19 nov. 2025.
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2017). Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback. Journal of Information and Data Management - JIDM, 8( 3), 180-196. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/4560
NLM
Costa AF da, Manzato MG, Campello RJGB. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback [Internet]. Journal of Information and Data Management - JIDM. 2017 ; 8( 3): 180-196.[citado 2025 nov. 19 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/4560
Vancouver
Costa AF da, Manzato MG, Campello RJGB. Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback [Internet]. Journal of Information and Data Management - JIDM. 2017 ; 8( 3): 180-196.[citado 2025 nov. 19 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/4560
Artigo de periodico
Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks (2016)
Matsuno, Ivone P; Rossi, Rafael G; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUNO, Ivone P et al. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 141-154, 2016Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/1619. Acesso em: 19 nov. 2025.
APA
Matsuno, I. P., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2016). Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, 7( 2), 141-154. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/1619
NLM
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 nov. 19 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
Vancouver
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 nov. 19 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619

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