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    • Revista IJIMAI
    • 2019
    • vol. 5, nº 6, september 2019
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 6, september 2019
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    The Promotion of Graduate Programs through Clustering Prospective Students

    Autor: 
    Cantón Croda, Rosa María
    ;
    Gibaja Romero, Damián Emilio
    ;
    Castillo-Villar, Fernando-Rey
    Fecha: 
    09/2019
    Palabra clave: 
    decision-level; clustering; machine learning; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12634
    DOI: 
    http://doi.org/10.9781/ijimai.2019.07.001
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2731
    Open Access
    Resumen:
    The promotion of academic programs, particularly at graduate levels, emerges as a response to market changes. In general, graduate programs are not a first order necessity which makes necessary the right promotion of such programs guarantee the attraction of prospective students, which enroll in some of them, which is essential for the financial sustainability of universities. Notably, the last one is a crucial problem for private universities. In this paper, we analyze the prospective students that enroll in a private to design better promotion strategies by using on data gathered by online sources. Specifically, we use clustering techniques to define marketing strategies based on segments of students. We find that age and city are crucial to promoting graduate programs while marital status and sex does not impact the decision of students in the university that we analyze.
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