Ontology-Driven Method for Ranking Unexpected Rules.
Mohamed Said Hamani, Ramdane Maamri · 2009
Abstract. Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new approach for patterns ranking according to their unexpectedness using semantic distance calculated based on a prior background knowledge represented by domain ontology organized as DAG (Directed Acyclic Graph) hierarchy.