DESARROLLO DE SISTEMAS DE PREDICCIÓN POR CLASIFICACIÓN PARA ESTIMAR EL DESEMPEÑO ACADÉMICO DE ALUMNOS DE NUEVO INGRESO

LOZOYA TREVIZO, LUIS ALBERTO (2016) DESARROLLO DE SISTEMAS DE PREDICCIÓN POR CLASIFICACIÓN PARA ESTIMAR EL DESEMPEÑO ACADÉMICO DE ALUMNOS DE NUEVO INGRESO. Maestría thesis, UNIVERSIDAD AUTONOMA DE CHIHUAHUA.

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Resumen

The main objective of students when entering institutions of higher level is to become professionals, however not all manage to finish their studies. This is a matter of concern for higher level institutions, as they seek to improve their educational background so that students can finish their studies. For the institution it is a problem to identify the new students that may have a low academic performance and therefore cannot take preventive measures to help them with their studies, by using Data mining a prediction system with classification algorithms will be developed, so it can identify the students with probabilities of low academic performance in its first four months and thus managers can take the necessary measures so the students can continue with their studies. This prediction system will be carried out in "Universidad Tecnológica de Chihuahua UTCH" where the data obtained from the institution will be analyzed.

Tipo de Documento: Tesis (Maestría)
Palabras Clave: Keywords: Data mining, academic performance, prediction system, classification algorithms
Clasificación temática: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Usuario Remitente: Admin Administrador del Respositorio
Depositado: 31 Oct 2017 19:09
Ultima Modificación: 31 Oct 2017 19:09
URI: http://repositorio.uach.mx/id/eprint/123

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Universidad Autonoma de Chihuahua