Filtros : "Holanda" "EACH-SIN-86" Removido: "Haan, Lieuwe de" Limpar

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  • Source: Data & Knowledge Engineering. Unidade: EACH

    Assunto: MINERAÇÃO DE DADOS

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      SOUSA, Rafael Gaspar de et al. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support. Data & Knowledge Engineering, p. 01-51, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.datak.2023.102253. Acesso em: 02 ago. 2024.
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      Sousa, R. G. de, Meira Neto, A. C., Fantinato, M., Peres, S. M., & Reijers, H. A. (2023). Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support. Data & Knowledge Engineering, 01-51. doi:10.1016/j.datak.2023.102253
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      Sousa RG de, Meira Neto AC, Fantinato M, Peres SM, Reijers HA. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support [Internet]. Data & Knowledge Engineering. 2023 ; 01-51.[citado 2024 ago. 02 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253
    • Vancouver

      Sousa RG de, Meira Neto AC, Fantinato M, Peres SM, Reijers HA. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support [Internet]. Data & Knowledge Engineering. 2023 ; 01-51.[citado 2024 ago. 02 ] Available from: http://dx.doi.org/10.1016/j.datak.2023.102253
  • Source: Software and Systems Modeling. Unidade: EACH

    Assunto: ECOSSISTEMAS

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      TORRES, Isaac da Silva et al. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios. Software and Systems Modeling, n. Ja 2023, p. 01-20, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10270-022-01074-1. Acesso em: 02 ago. 2024.
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      Torres, I. da S., Fantinato, M., Branco, G. M., & Gordijn, J. (2023). Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios. Software and Systems Modeling, ( Ja 2023), 01-20. doi:10.1007/s10270-022-01074-1
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      Torres I da S, Fantinato M, Branco GM, Gordijn J. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios [Internet]. Software and Systems Modeling. 2023 ;( Ja 2023): 01-20.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s10270-022-01074-1
    • Vancouver

      Torres I da S, Fantinato M, Branco GM, Gordijn J. Guidelines to derive an e3value business model from a BPMN process model: an experiment on real-world scenarios [Internet]. Software and Systems Modeling. 2023 ;( Ja 2023): 01-20.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s10270-022-01074-1
  • Source: Information Systems: databases: their creation, management and utilization. Unidade: EACH

    Assunto: GENERALIZAÇÃO (APRENDIZAGEM)

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      FANTINATO, Marcelo e PERES, Sarajane Marques e REIJERS, Hajo Alexander. X-Processes: process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm. Information Systems: databases: their creation, management and utilization, v. 119, p. 01-25, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.is.2023.102247. Acesso em: 02 ago. 2024.
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      Fantinato, M., Peres, S. M., & Reijers, H. A. (2023). X-Processes: process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm. Information Systems: databases: their creation, management and utilization, 119, 01-25. doi:10.1016/j.is.2023.102247
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      Fantinato M, Peres SM, Reijers HA. X-Processes: process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm [Internet]. Information Systems: databases: their creation, management and utilization. 2023 ; 119 01-25.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.is.2023.102247
    • Vancouver

      Fantinato M, Peres SM, Reijers HA. X-Processes: process model discovery with the best balance among fitness, precision, simplicity, and generalization through a genetic algorithm [Internet]. Information Systems: databases: their creation, management and utilization. 2023 ; 119 01-25.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.is.2023.102247
  • Source: Proceedings. Conference titles: Annual ACM Symposium on Applied Computing. Unidade: EACH

    Subjects: MINERAÇÃO DE DADOS, NEGÓCIOS

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      SOUSA, Rafael Gaspar de et al. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3412841.3441918. Acesso em: 02 ago. 2024.
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      Sousa, R. G. de, Peres, S. M., Fantinato, M., & Reijers, H. A. (2021). Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering. In Proceedings. New York: ACM. doi:10.1145/3412841.3441918
    • NLM

      Sousa RG de, Peres SM, Fantinato M, Reijers HA. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering [Internet]. Proceedings. 2021 ;[citado 2024 ago. 02 ] Available from: https://doi.org/10.1145/3412841.3441918
    • Vancouver

      Sousa RG de, Peres SM, Fantinato M, Reijers HA. Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering [Internet]. Proceedings. 2021 ;[citado 2024 ago. 02 ] Available from: https://doi.org/10.1145/3412841.3441918
  • Source: Artificial Intelligence Review. Unidade: EACH

    Subjects: MINERAÇÃO DE DADOS, NEGÓCIOS

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      NEUBAUER, Thais Rodrigues et al. Interactive clustering: a scoping review. Artificial Intelligence Review, p. 01-62, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10462-020-09913-7. Acesso em: 02 ago. 2024.
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      Neubauer, T. R., Peres, S. M., Fantinato, M., Lu, X., & Reijers, H. A. (2020). Interactive clustering: a scoping review. Artificial Intelligence Review, 01-62. doi:10.1007/s10462-020-09913-7
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      Neubauer TR, Peres SM, Fantinato M, Lu X, Reijers HA. Interactive clustering: a scoping review [Internet]. Artificial Intelligence Review. 2020 ; 01-62.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s10462-020-09913-7
    • Vancouver

      Neubauer TR, Peres SM, Fantinato M, Lu X, Reijers HA. Interactive clustering: a scoping review [Internet]. Artificial Intelligence Review. 2020 ; 01-62.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/s10462-020-09913-7
  • Source: Lecture Notes in Business Information Processing. Unidade: EACH

    Subjects: TECNOLOGIA DA INFORMAÇÃO, MINERAÇÃO DE DADOS, NEGÓCIOS

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      AMARAL, Claudio A. L. et al. Enhancing completion time prediction through attribute selection. Lecture Notes in Business Information Processing, v. 346, p. 03-23, 2019Tradução . . Disponível em: https://doi.org/10.1007/978-3-030-15154-6_1. Acesso em: 02 ago. 2024.
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      Amaral, C. A. L., Fantinato, M., Reijers, H. A., & Peres, S. M. (2019). Enhancing completion time prediction through attribute selection. Lecture Notes in Business Information Processing, 346, 03-23. doi:10.1007/978-3-030-15154-6_1
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      Amaral CAL, Fantinato M, Reijers HA, Peres SM. Enhancing completion time prediction through attribute selection [Internet]. Lecture Notes in Business Information Processing. 2019 ; 346 03-23.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/978-3-030-15154-6_1
    • Vancouver

      Amaral CAL, Fantinato M, Reijers HA, Peres SM. Enhancing completion time prediction through attribute selection [Internet]. Lecture Notes in Business Information Processing. 2019 ; 346 03-23.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1007/978-3-030-15154-6_1
  • Source: International Journal of Approximate Reasoning. Unidades: EACH, IME

    Subjects: ONTOLOGIAS, LÓGICA, REVISÃO DE CRENÇAS

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      SANTOS, Yuri David et al. Partial meet pseudo-contractions. International Journal of Approximate Reasoning, v. 103, p. 11-27, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.08.006. Acesso em: 02 ago. 2024.
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      Santos, Y. D., Matos, V. B., Ribeiro, M. M., & Wassermann, R. (2018). Partial meet pseudo-contractions. International Journal of Approximate Reasoning, 103, 11-27. doi:10.1016/j.ijar.2018.08.006
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      Santos YD, Matos VB, Ribeiro MM, Wassermann R. Partial meet pseudo-contractions [Internet]. International Journal of Approximate Reasoning. 2018 ; 103 11-27.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.ijar.2018.08.006
    • Vancouver

      Santos YD, Matos VB, Ribeiro MM, Wassermann R. Partial meet pseudo-contractions [Internet]. International Journal of Approximate Reasoning. 2018 ; 103 11-27.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.ijar.2018.08.006
  • Source: Natural Language Engineering. Unidade: EACH

    Subjects: LINGUAGEM NATURAL, INTELIGÊNCIA ARTIFICIAL

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      FERREIRA, Thiago Castro e PARABONI, Ivandré. Generating natural language descriptions using speaker-dependent information. Natural Language Engineering, v. 23, n. 6, p. 813-834, 2017Tradução . . Disponível em: https://doi.org/10.1017/S1351324917000079. Acesso em: 02 ago. 2024.
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      Ferreira, T. C., & Paraboni, I. (2017). Generating natural language descriptions using speaker-dependent information. Natural Language Engineering, 23( 6), 813-834. doi:10.1017/S1351324917000079
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      Ferreira TC, Paraboni I. Generating natural language descriptions using speaker-dependent information [Internet]. Natural Language Engineering. 2017 ; 23( 6):813-834.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1017/S1351324917000079
    • Vancouver

      Ferreira TC, Paraboni I. Generating natural language descriptions using speaker-dependent information [Internet]. Natural Language Engineering. 2017 ; 23( 6):813-834.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1017/S1351324917000079
  • Source: The Journal of Systems and Software. Unidade: EACH

    Subjects: TESTE E AVALIAÇÃO DE SOFTWARE, PROCESSAMENTO SIMBÓLICO, CODIFICAÇÃO DE PROGRAMA, ANÁLISE DE ERROS

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      ELER, Marcelo Medeiros e ENDO, André Takeshi e DURELLI, Vinícius Humberto Serapilha. An empirical study to quantify the characteristics of Java programs that may influence symbolic execution from a unit testing perspective. The Journal of Systems and Software, v. No 2016, p. 281-297, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jss.2016.03.020. Acesso em: 02 ago. 2024.
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      Eler, M. M., Endo, A. T., & Durelli, V. H. S. (2016). An empirical study to quantify the characteristics of Java programs that may influence symbolic execution from a unit testing perspective. The Journal of Systems and Software, No 2016, 281-297. doi:10.1016/j.jss.2016.03.020
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      Eler MM, Endo AT, Durelli VHS. An empirical study to quantify the characteristics of Java programs that may influence symbolic execution from a unit testing perspective [Internet]. The Journal of Systems and Software. 2016 ; No 2016 281-297.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.jss.2016.03.020
    • Vancouver

      Eler MM, Endo AT, Durelli VHS. An empirical study to quantify the characteristics of Java programs that may influence symbolic execution from a unit testing perspective [Internet]. The Journal of Systems and Software. 2016 ; No 2016 281-297.[citado 2024 ago. 02 ] Available from: https://doi.org/10.1016/j.jss.2016.03.020

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