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dc.contributor.authorVialardi Sacín, César
dc.contributor.authorChue Gallardo, Jorge
dc.contributor.authorBarrientos Padilla, Alfredo
dc.contributor.authorVictoria, Daniel
dc.contributor.authorEstrella, Jhonny
dc.contributor.authorPeche, Juan Pablo
dc.contributor.authorOrtigosa, Álvaro
dc.contributor.otherVialardi Sacín, Césares_PE
dc.contributor.otherChue Gallardo, Jorgees_PE
dc.contributor.otherBarrientos Padilla, Alfredoes_PE
dc.contributor.otherVictoria, Danieles_PE
dc.contributor.otherEstrella, Jhonnyes_PE
dc.contributor.otherPeche, Juan Pabloes_PE
dc.contributor.otherOrtigosa, Álvaroes_PE
dc.identifier.citationVialardi Sacín, C., Chue Gallardo, J., Barrientos, A., Victoria, D., Estrella, J., Peche, J. P., y Ortigosa, Á. (junio 2010). A case study: data mining applied to student enrollment. In Educational Data Mining
dc.descriptionIndexado en Scopus
dc.description.abstractOne of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context, this paper presents a recommender system based on data mining. This recommender system intends to create awareness of the difficulty and amount of workload entailed by a chosen set of courses. For the purpose of building the underlying model, this paper describes the generation of domain specific variables that are capable of representing students’ past performance. The objective is to improve students’ performance in general, by reducing the rate of misguided enrollment decisions.en_EN
dc.publisherEducational Data Mininges_PE
dc.rightsCreative Commons Attribution-NonCommercial 4.0 International License.
dc.sourceUniversidad de Limaes_PE
dc.sourceRepositorio Institucional Ulimaes_PE
dc.subjectRendimiento académicoes_PE
dc.subjectEstudiantes universitarioses_PE
dc.subjectData miningen_EN
dc.subjectMinería de datoses_PE
dc.subject.classificationIngenierías / Ingeniería de sistemases
dc.subject.classificationCiencias sociales / Educaciónes
dc.titleA Case Study: Data Mining Applied to Student Enrollmenten_US
dc.type.otherArtículo de conferencia en Scopuses_PE

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