Filtros : "data integration" Limpar

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  • Source: Anais. Conference titles: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidade: IME

    Subjects: BIG DATA, CIDADES INTELIGENTES

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      RIBEIRO, Murilo Borges e BRAGHETTO, Kelly Rosa. A data integration architecture for smart cities. 2021, Anais.. Porto Alegre: SBC, 2021. Disponível em: https://doi.org/10.5753/sbbd.2021.17878. Acesso em: 20 jan. 2026.
    • APA

      Ribeiro, M. B., & Braghetto, K. R. (2021). A data integration architecture for smart cities. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2021.17878
    • NLM

      Ribeiro MB, Braghetto KR. A data integration architecture for smart cities [Internet]. Anais. 2021 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.5753/sbbd.2021.17878
    • Vancouver

      Ribeiro MB, Braghetto KR. A data integration architecture for smart cities [Internet]. Anais. 2021 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.5753/sbbd.2021.17878
  • Source: Software : Practice and Experience. Unidade: ICMC

    Subjects: BANCO DE DADOS, PROCESSAMENTO DE ARQUIVOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ALMEIDA, Dayse Silveira de et al. An asynchronous collaborative reconciliation model based on data provenance. Software : Practice and Experience, v. 48, n. Ja 2018, p. 197-232, 2018Tradução . . Disponível em: https://doi.org/10.1002/spe.2506. Acesso em: 20 jan. 2026.
    • APA

      Almeida, D. S. de, Hara, C. S., Ciferri, R. R., & Ciferri, C. D. de A. (2018). An asynchronous collaborative reconciliation model based on data provenance. Software : Practice and Experience, 48( Ja 2018), 197-232. doi:10.1002/spe.2506
    • NLM

      Almeida DS de, Hara CS, Ciferri RR, Ciferri CD de A. An asynchronous collaborative reconciliation model based on data provenance [Internet]. Software : Practice and Experience. 2018 ; 48( Ja 2018): 197-232.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1002/spe.2506
    • Vancouver

      Almeida DS de, Hara CS, Ciferri RR, Ciferri CD de A. An asynchronous collaborative reconciliation model based on data provenance [Internet]. Software : Practice and Experience. 2018 ; 48( Ja 2018): 197-232.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1002/spe.2506
  • Source: Bioinformatics and Biology Insights. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      DONG, Xiaoxi et al. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, v. 9, p. 61-74, 2015Tradução . . Disponível em: https://doi.org/10.4137/BBI.S12467. Acesso em: 20 jan. 2026.
    • APA

      Dong, X., Iambartsev, A., Ramsey, S. A., Thomas, L. D., Shulzhenko, N., & Morgun, A. (2015). Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, 9, 61-74. doi:10.4137/BBI.S12467
    • NLM

      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2026 jan. 20 ] Available from: https://doi.org/10.4137/BBI.S12467
    • Vancouver

      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2026 jan. 20 ] Available from: https://doi.org/10.4137/BBI.S12467

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