An efficient new cohesion indice based on the quality measure of association rules MGK

Hery Frédéric Rakotomalala (1) , Totohasina André (1)

1 Ecole Normale Supérieure pour l'enseignement Technique [Antsiranana]

This article shows us a new algorithm for extracting valid association rule (AR) based on MGK, to allow the construction of a new cohesion indice as a masterpiece of an implicative and cohesitive hierarchical classification (ICHC). The objective is to shed light on the values of the AR-supports valid based on MGK and to show some properties of the said new cohesion.

Mots clés: Association rule; quality measure; cohesion; clustering

Domaines: Education; Intelligence artificielle [cs.AI]; Environnements Informatiques pour l'Apprentissage Humain; Apprentissage [cs.LG]; Probabilités [math.PR]; Statistiques [math.ST]; Informatique

Hery Frédéric Rakotomalala, Totohasina André. An efficient new cohesion indice based on the quality measure of association rules MGK. Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), Amit Joshi, Oct 2018, London, United Kingdom. pp.28-35, ⟨10.1109/WorldS4.2018.8611577⟩. ⟨hal-02904215⟩