A Novel Cohesitive Implicative Classification based on MGK and application on diagnostic on informatics literacy of students of higher education in Madagascar.
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27 février 2018
- handle: 10670/1.waa3xb
- hal: hal-02903290
- doi: 10.1007/978-981-13-1165-9
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-981-13-1165-9
Mots-clés
Hierarchical ascending-oriented classification Statistical implication Normalization · Cohesion Association ruleSujets proches
Natural science Sciences Science of scienceCiter ce document
Hery Frédéric Rakotomalala et al., « A Novel Cohesitive Implicative Classification based on MGK and application on diagnostic on informatics literacy of students of higher education in Madagascar. », HAL-SHS : sciences de l'éducation, ID : 10.1007/978-981-13-1165-9
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Résumé
As the literature shows, a data mining is generally based on contingency tables that is on crossing properties variables; it measures statistically the quality of this rule based on nonsignificant number of counterexamples, where rule not verified.We must therefore be able to quantify the significance of these numbers, the consistency of association rule (AR) or classes of rules, the contribution of subjects or categories of subjects to some rules that represent chains of rules and, by a hierarchy, rules on rules that are also called meta-rules.