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Filtros : "Data Mining and Knowledge Discovery" "Indexado no Compendex" Limpar

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  • 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

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    • 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: 11 nov. 2025.

    • 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 2025 nov. 11 ] 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 2025 nov. 11 ] Available from: https://doi.org/10.1007/s10618-019-00651-1

  • Artigo de periodico

    Speeding up similarity search under dynamic time warping by pruning unpromising alignments (2018)

    Silva, Diego Furtado ; Giusti, Rafael; Keogh, Eamonn; Batista, Gustavo Enrique de Almeida Prado Alves

    Fonte: Data Mining and Knowledge Discovery. Unidade: ICMC

    Assuntos: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SILVA, Diego Furtado et al. Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Mining and Knowledge Discovery, v. 32, n. 4, p. 988-1016, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10618-018-0557-y. Acesso em: 11 nov. 2025.

    • APA

      Silva, D. F., Giusti, R., Keogh, E., & Batista, G. E. de A. P. A. (2018). Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Mining and Knowledge Discovery, 32( 4), 988-1016. doi:10.1007/s10618-018-0557-y

    • NLM

      Silva DF, Giusti R, Keogh E, Batista GE de APA. Speeding up similarity search under dynamic time warping by pruning unpromising alignments [Internet]. Data Mining and Knowledge Discovery. 2018 ; 32( 4): 988-1016.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s10618-018-0557-y

    • Vancouver

      Silva DF, Giusti R, Keogh E, Batista GE de APA. Speeding up similarity search under dynamic time warping by pruning unpromising alignments [Internet]. Data Mining and Knowledge Discovery. 2018 ; 32( 4): 988-1016.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s10618-018-0557-y
  • 1

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