On Hierarchical Classification Implicative and Cohesive MGK-Based: Application on Analysis of the Computing Curricula and Students Abilities According the Anglo-Saxon Model

International audience; Extracting association rules from a huge binary data according to a quality measure is an important pretreatment step in data analysis.Also, among unsupervised techniques, our approach for a hierarchical classification implicative and cohesive is based on the new measure of cohesion according to the interestigness measure MGK. In this paper, we present, for the first time, a validation of this approach in the field of education, mainly in the computing curricula and the performance capabilities of students pursuing this curriculum in the Anglo-Saxon model.