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...

• Главный автор: Cevallos Molina, Sulay Katerine (author)
• Другие авторы: Trujillo Utreras, Viviana Katherine (author)
• Формат: bachelorThesis
• Язык: spa
• Опубликовано: 2018
• Предметы: Minería de datos; Rendimiento Académico; Árbol de Decisión; Naïve Bayes
• Online-ссылка: http://repositorio.espam.edu.ec/handle/42000/862