Ontology-Driven Association Rule Extraction: A Case Study

International Workshop on Contexts and Ontologies: Representation and Reasoning

Andrea Bellandi ; Barbara Furletti ; Valerio Grossi ; Andrea Romei

Others  :  http://CEUR-WS.org/Vol-298/paper1.pdf
PID  :  21705

来源: CEUR

【 摘 要 】

This paper proposes an integrated framework for extracting Constraint-based Multi-level Association Rules with an ontology support. The system permits the definition of a set of domain-specific constraints on a specific domain ontology, and to query the ontology for filtering the instances used in the association rule mining process. This method can improve the quality of the extracted associations rules in terms of relevance and understandability.