Enrichment of Association Rules through Exploitation of Ontology Properties – Healthcare Case Study

• DOI: 10.1016/j.procs.2017.08.345
• Publication Date: 2017-09-20T01:07:29Z
• Authors: Eliot Bytyçi; Lule Ahmedi; Francesca A. Lisi
• Keywords: Web Ontology Language

Association rule mining as descriptive data category aims to find interesting patterns on data. The quality of the is measured with two metrics: confidence and support. Especially in fields dealing sensitive data, such healthcare, resulting should be novel interesting. To achieve that, not only itself superior, but also other additional attributes added, do support results. That achieved by using Semantic Web technologies thus enriching used semantic relations between properties. A hypothesis suggests that especially tackling property relations, chain being part current version W3C Ontology Language (OWL), will yield better rules. validate hypothesis, experiments were performed raw then an older OWL, which does properties finally language involving Results obtained suggest latter produces rules strong support, encountered former experiments.