Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

Data mining is employed to extract useful information and to detect patterns from often large data sets, closely related to knowledge discovery in databases and data science. In this investigation, we formulate models based on machine learning algorithms to extract relevant information predicting st...

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Bibliographic Details
Main Authors: Carlos A. Palacios, José A. Reyes-Suárez, Lorena A. Bearzotti, Víctor Leiva, Carolina Marchant
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
data analytics
databases
data science
Friedman test
socioeconomic index
university dropout
Online Access:https://www.mdpi.com/1099-4300/23/4/485

Internet

https://www.mdpi.com/1099-4300/23/4/485

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