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dc.contributor.authorCantón Croda, Rosa María
dc.contributor.authorGibaja Romero, Damián Emilio
dc.contributor.authorCastillo-Villar, Fernando-Rey
dc.date2019-09
dc.date.accessioned2022-03-15T09:49:53Z
dc.date.available2022-03-15T09:49:53Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12634
dc.description.abstractThe 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.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 5, nº 6
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2731es_ES
dc.rightsopenAccesses_ES
dc.subjectdecision-leveles_ES
dc.subjectclusteringes_ES
dc.subjectmachine learninges_ES
dc.subjectIJIMAIes_ES
dc.titleThe Promotion of Graduate Programs through Clustering Prospective Studentses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2019.07.001


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