Filtros : "FANTINATO, MARCELO" "Maita, Ana Rocío Cárdenas" Limpar

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  • Source: International Joint Conference on Neural Networks. Proceedings. Unidade: EACH

    Subjects: MINERAÇÃO DE DADOS, GESTÃO POR PROCESSOS, EDUCAÇÃO A DISTÂNCIA, INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MAITA, Ana Rocío Cárdenas et al. Mining unstructured processes: an exploratory study on a distance learning domain. International Joint Conference on Neural Networks. Proceedings, v. 2017, n. mai./ju 2017, p. 3240-3247, 2017Tradução . . Disponível em: https://doi.org/10.1109/IJCNN.2017.7966261. Acesso em: 19 abr. 2024.
    • APA

      Maita, A. R. C., Fantinato, M., Peres, S. M., Thom, L. H., & Hung, P. C. K. (2017). Mining unstructured processes: an exploratory study on a distance learning domain. International Joint Conference on Neural Networks. Proceedings, 2017( mai./ju 2017), 3240-3247. doi:10.1109/IJCNN.2017.7966261
    • NLM

      Maita ARC, Fantinato M, Peres SM, Thom LH, Hung PCK. Mining unstructured processes: an exploratory study on a distance learning domain [Internet]. International Joint Conference on Neural Networks. Proceedings. 2017 ; 2017( mai./ju 2017): 3240-3247.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IJCNN.2017.7966261
    • Vancouver

      Maita ARC, Fantinato M, Peres SM, Thom LH, Hung PCK. Mining unstructured processes: an exploratory study on a distance learning domain [Internet]. International Joint Conference on Neural Networks. Proceedings. 2017 ; 2017( mai./ju 2017): 3240-3247.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IJCNN.2017.7966261
  • Source: Business Process Management Journal. Unidade: EACH

    Assunto: PRODUÇÃO CIENTÍFICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MAITA, Ana Rocío Cárdenas et al. Process mining through artificial neural networks and support vector machines: a systematic literature review. Business Process Management Journal, v. 21, n. 6, p. 1391-1415, 2015Tradução . . Disponível em: https://doi.org/10.1108/BPMJ-02-2015-0017. Acesso em: 19 abr. 2024.
    • APA

      Maita, A. R. C., Martins, L. C., Paz , C. R. L., Peres, S. M., & Fantinato, M. (2015). Process mining through artificial neural networks and support vector machines: a systematic literature review. Business Process Management Journal, 21( 6), 1391-1415. doi:10.1108/BPMJ-02-2015-0017
    • NLM

      Maita ARC, Martins LC, Paz CRL, Peres SM, Fantinato M. Process mining through artificial neural networks and support vector machines: a systematic literature review [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1391-1415.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1108/BPMJ-02-2015-0017
    • Vancouver

      Maita ARC, Martins LC, Paz CRL, Peres SM, Fantinato M. Process mining through artificial neural networks and support vector machines: a systematic literature review [Internet]. Business Process Management Journal. 2015 ; 21( 6): 1391-1415.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1108/BPMJ-02-2015-0017

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