DESARROLLO DE SISTEMAS DE PREDICCIÓN CON REGRESIÓN DEL DESEMPEÑO ACADÉMICO DE ALUMNOS DE NUEVO INGRESO EN UNIVERSIDADES TECNOLÓGICAS

DE LA CRUZ NAVA, JOSE ALFREDO (2016) DESARROLLO DE SISTEMAS DE PREDICCIÓN CON REGRESIÓN DEL DESEMPEÑO ACADÉMICO DE ALUMNOS DE NUEVO INGRESO EN UNIVERSIDADES TECNOLÓGICAS. Maestría thesis, UNIVERSIDAD AUTONOMA DE CHIHUAHUA.

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Resumen

In Mexico, higher level education is very important, the professionals are necessary to achieve greater status, but not all students finish their carriers. Prediction systems have been designed to predict dropout or slow performance in the students, but these students are not identified to give them personalized attention and help them to finish their carriers. This is the reason that by data mining a prediction system based on regression algorithms drops information about the the new students of the Universidad Tecnológica de Chihuahua with high probability to fail in their first quarter. The best algorithm will be searched from data collected at the university, based on concepts of data mining. The activities in this project will have an own methodology based in KDD (Knowledge Discovery in Databases), each one of these activities are planned in two years.

Tipo de Documento: Tesis (Maestría)
Palabras Clave: Keywords: Data mining, academic performance, prediction system, regression algorithms
Clasificación temática: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Usuario Remitente: Admin Administrador del Respositorio
Depositado: 31 Oct 2017 18:51
Ultima Modificación: 31 Oct 2017 18:51
URI: http://repositorio.uach.mx/id/eprint/122

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Universidad Autonoma de Chihuahua