Ontology-Driven Method for Ranking Unexpected Rules

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.

• Type: Conference
• Year: 2009
• Where: CIIA
• Authors: Mohamed Said Hamani, Ramdane Maamri
• Keywords: CIIA 2009, Directed Acyclic Graph, Information Technology, Prior Background Knowledge, Several Rule Discovery