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- W2365775291 abstract "Association rule can be used to direct enterprise business decision-making.In view of the problem of redundant rules caused by support-confidence framework,an association rule mining method and algorithm based on integrated ontology statistical correlation and semantic correlation are discussed.To mine association rules,domain ontology is constructed and integrated by a more general ontology to assist mining firstly,and correlation degree is computed by considering statistical correlation and semantic correlation.Data-driven and user-driven interest measure are used to discharge the uninteresting rules.Compared with the existing method,this method cleans out the redundant rules effectively,and realizes semantic representation of knowledge.Through the research and development of computer aided cardio-vascular disease diagnosing system,the validity and superiority of this method are validated." @default.
- W2365775291 created "2016-06-24" @default.
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- W2365775291 date "2008-01-01" @default.
- W2365775291 modified "2023-09-24" @default.
- W2365775291 title "Ontology-based Method for Mining Association Rules" @default.
- W2365775291 hasPublicationYear "2008" @default.
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