Listar por autor 

Listar por autor "Caballero, Ismael"  

Mostrando ítems 1-4 de 4

    • Artículo
      Icon

      BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning 

      Barba González, Cristóbal; Caballero, Ismael; Varela Vaca, Ángel Jesús; Cruz Lemus, José Antonio; Gómez López, María Teresa; Navas Delgado, Ismael (Elsevier B.V., 2024)
      Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data ...
    • Ponencia
      Icon

      DMN for Data Quality Measurement and Assessment 

      Valencia Parra, Álvaro; Parody Núñez, María Luisa; Varela Vaca, Ángel Jesús; Caballero, Ismael; Gómez López, María Teresa (Springer, 2019)
      Data Quality assessment is aimed at evaluating the suitability of a dataset for an intended task. The extensive literature ...
    • Artículo
      Icon

      DMN4DQ: when data quality meets DMN 

      Valencia Parra, Álvaro; Parody Núñez, María Luisa; Varela Vaca, Ángel Jesús; Caballero, Ismael; Gómez López, María Teresa (Elsevier, 2021)
      To succeed in their business processes, organizations need data that not only attains suitable levels of quality for the ...
    • Ponencia
      Icon

      PAIS-DQ: Extending Process-Aware Information Systems to support Data Quality in PAIS life-cycle 

      Parody Núñez, María Luisa; Gómez López, María Teresa; Bermejo, Isabel; Caballero, Ismael; Martínez Gasca, Rafael; Piattini Velthuis, Mario (IEEE Computer Society, 2016)
      The successful execution of a Business Process implies to use data with an adequate level of quality, thereby enabling ...