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Data Mining Applications in Higher Education and Academic Intelligence Management

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Figure

Table 1. Author’s experiments in education based data mining at Babes-Bolyai University, after (Bresfelean et al., 2008b)
Fig. 1. Decision tree for predicting the students’ choice in continuing their education
Fig. 2. Decision tree for predicting academic failure/success Here are examples of interpretation of the decision tree’s branches: “If students’ admittance grade was above 8, then they would pass all their exams” “If students’ admittance grade was in the (
Table 2. FarthestFirst clusters based on students’ choice to continue their education, adapted from (Bresfelean et al., 2006)
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