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Listar por autor "Preciado, Juan Carlos"

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    • A hybrid multidimensional Recommender System for radio programs 

      Fernández-García, Antonio Jesús ; Rodriguez-Echeverría, Roberto; Preciado, Juan Carlos; Perianez, Jorge; Gutiérrez, Juan D. (Expert Systems with Applications, 2022)
      The rise of Recommender Systems has made their presence very common today in many domains. An example is the domain of radio or TV broadcasting content recommendations. The approach proposed here allows radio listeners to ...

    • A real-life machine learning experience for predicting university dropout at different stages using academic data 

      Fernández-García, Antonio Jesús ; Preciado, Juan Carlos; Melchor, Fran; Rodriguez-Echeverría, Roberto; Conejero Manzano, José María; Sánchez, Fernando (Institute of Electrical and Electronics Engineers Inc., 2021)
      High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...

    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...

    • Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision 

      Fernández-García, Antonio Jesús ; Rodríguez-Echeverría, Roberta; Preciado, Juan Carlos; Conejero Manzano, José María; Sánchez-Figueroa, Fernando (IEEE Access, 2020)
      Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ...

    • Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies 

      Conejero Manzano, José María; Preciado, Juan Carlos; Fernández-García, Antonio Jesús ; Prieto, Álvaro; Rodriguez-Echeverría, Roberto (Expert systems with applications, 2021)
      Education and employment are key aspects of a country's well-being. Governments expend valuable resources on designing education plans and employment programs. These two aspects are usually analysed separately, although, ...