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.
Ontology-Driven Association Rule Extraction: A Case Study
Bellandi A;Furletti B;Grossi V;
2007
Abstract
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
prod_272222-doc_134146.pdf
solo utenti autorizzati
Descrizione: Ontology-Driven Association Rule Extraction: A Case Study
Tipologia:
Versione Editoriale (PDF)
Dimensione
750.16 kB
Formato
Adobe PDF
|
750.16 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
