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Listar Artículos Científicos WOS y SCOPUS por autor "Conejero Manzano, José María"
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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 ... -
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, ...