“…Data mining compiles the knowledge produced by both Statistics and Artificial Intelligence, while at the same time remaining accessible to educators (Hand, 1998 ; Baker and Yacef, 2009 ). In regard to Higher Education dropout, three of the possible techniques have proven helpful to understanding the problem, since they are used to raise and solve classification problems in which a certain number of variables are used as predictors (acting as a criterion variable); these techniques are association rules (López et al, 2015 ; Badr et al, 2016 ), Naive Bayes (Moseley and Mead, 2008 ; Moreno-Salinas and Stephens, 2015 ; Shaleena and Paul, 2015 ) and Decision Trees (Escobar et al, 2016 ; Hasbun et al, 2016 ; Liang et al, 2016 ).…”