Minería de datos aplicada a la clasificación del rendimiento académico

Minería de datos aplicada a la clasificación del rendimiento académico

The present work of degree was developed with the objective of applying the main data mining algorithms used in education to make inferences in the classification of the academic performance of the students of the computing career of the ESPAM MFL. The tool used for the analysis process was the WEKA...

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Bibliografiske detaljer
Hovedforfatter: Cevallos Molina, Sulay Katerine (author)
Andre forfattere: Trujillo Utreras, Viviana Katherine (author)
Format: bachelorThesis
Sprog:spa
Udgivet: 2018
Fag:
Minería de datos
Rendimiento Académico
Árbol de Decisión
Naïve Bayes
Online adgang:http://repositorio.espam.edu.ec/handle/42000/862
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http://repositorio.espam.edu.ec/handle/42000/862

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