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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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Hlavní autoři: Rafael Isaac Estrada-Danell, Roman Alberto Zamarripa-Franco, Pilar Giselle Zúñiga-Garay, Isaías Martínez-Trejo
Médium: Artigo
Jazyk:Inglês
Vydáno: Universidad Nacional, Costa Rica 2016-09-01
Edice:Revista Electrónica Educare
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On-line přístup:http://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/7452
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