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  • Artigo de periodico

    Data stream dynamic clustering supported by Markov chain isomorphisms (2013)

    Albertini, Marcelo Keese; Mello, Rodrigo Fernandes de

    Fonte: Intelligent Data Analysis. Unidade: ICMC

    Assuntos: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, SISTEMAS DINÂMICOS

    Acesso à fonteDOIComo citar
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    • ABNT

      ALBERTINI, Marcelo Keese e MELLO, Rodrigo Fernandes de. Data stream dynamic clustering supported by Markov chain isomorphisms. Intelligent Data Analysis, v. 17, n. 3, p. 439-457, 2013Tradução . . Disponível em: https://doi.org/10.3233/IDA-130588. Acesso em: 25 nov. 2025.

    • APA

      Albertini, M. K., & Mello, R. F. de. (2013). Data stream dynamic clustering supported by Markov chain isomorphisms. Intelligent Data Analysis, 17( 3), 439-457. doi:10.3233/IDA-130588

    • NLM

      Albertini MK, Mello RF de. Data stream dynamic clustering supported by Markov chain isomorphisms [Internet]. Intelligent Data Analysis. 2013 ; 17( 3): 439-457.[citado 2025 nov. 25 ] Available from: https://doi.org/10.3233/IDA-130588

    • Vancouver

      Albertini MK, Mello RF de. Data stream dynamic clustering supported by Markov chain isomorphisms [Internet]. Intelligent Data Analysis. 2013 ; 17( 3): 439-457.[citado 2025 nov. 25 ] Available from: https://doi.org/10.3233/IDA-130588

  • Artigo de periodico

    Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization (2012)

    Albertini, Marcelo Keese; Stojmenovic, Ivan; Mello, Rodrigo Fernandes de

    Fonte: INFOCOMP : Journal of Computer Science. Unidade: ICMC

    Assuntos: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS

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

    • ABNT

      ALBERTINI, Marcelo Keese e STOJMENOVIC, Ivan e MELLO, Rodrigo Fernandes de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization. INFOCOMP : Journal of Computer Science, v. 11, n. 3-4, p. 23-30, 2012Tradução . . Disponível em: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf. Acesso em: 25 nov. 2025.

    • APA

      Albertini, M. K., Stojmenovic, I., & Mello, R. F. de. (2012). Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization. INFOCOMP : Journal of Computer Science, 11( 3-4), 23-30. Recuperado de http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf

    • NLM

      Albertini MK, Stojmenovic I, Mello RF de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization [Internet]. INFOCOMP : Journal of Computer Science. 2012 ; 11( 3-4): 23-30.[citado 2025 nov. 25 ] Available from: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf

    • Vancouver

      Albertini MK, Stojmenovic I, Mello RF de. Feature extraction based on exponential-weighted higher-order local auto-correlation: an approach to improve data characterization [Internet]. INFOCOMP : Journal of Computer Science. 2012 ; 11( 3-4): 23-30.[citado 2025 nov. 25 ] Available from: http://www.dcc.ufla.br/infocomp/images/artigos/v11.3/art04.pdf
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