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Predicting student drop-out rates using data mining techniques: A case study
(IEEE Colombian Conference on Applications in Computational Intelligence, 2018-12-14)
The prevention of students dropping out is considered very important in many educational institutions. In this paper we describe the results of an educational data analytics case study focused on detection of dropout of ...