Contributions to the Enrollment Process with Data Mining in Private Higher Education Institutions

This article aims to analyze how data mining (DM) optimizes the enrollment process, with the intention of designing a predictive model to manage private enrollment for higher education institutions of Mexico. It analyzes the current status of the higher education institutions in relation to its enro...

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Bibliografiske detaljer

Principais autores:	Rafael Isaac Estrada-Danell, Roman Alberto Zamarripa-Franco, Pilar Giselle Zúñiga-Garay, Isaías Martínez-Trejo
Format:	Artigo
Sprog:	Inglês
Udgivet:	Universidad Nacional, Costa Rica 2016-09-01
Serier:	Revista Electrónica Educare
Fag:	Gestión educacional, planificación de la educación administración de la educación instituto de enseñanza superior universidad gestión de la información
Online adgang:	http://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/7452
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