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...
Main Authors: | Rafael Isaac Estrada-Danell, Roman Alberto Zamarripa-Franco, Pilar Giselle Zúñiga-Garay, Isaías Martínez-Trejo |
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Format: | Article |
Language: | Spanish |
Published: |
Universidad Nacional, Costa Rica
2016-09-01
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Series: | Revista Electronic@ Educare |
Subjects: | |
Online Access: | http://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/7452 |
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