OntoAR: an Ontology for Unification and Description of Association Rules


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Abstract


This article is concerned with the merging of two active research domains: Knowledge Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in Ontology. In KDD, we need to unify the domain of data mining. To overcome this drawback, several methods have been proposed in the literature. Among the knowledge models used in DM, association rules have become a major concept and have received significant research attention. So, we propose an ontology, named OntoAR which includes definitions of basic association rules entities, such as tasks, association rules algorithms, to describe the spots and the basic entities of the method of association rules in order to share common understanding of this method and explain what is considered as implicit.
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Keywords


Association Rules; Data Mining; Ontology; OntoAR; Unifying Framework

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