A Bayesian Association Rule Mining Algorithm

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Provided by: National University Of Ireland
Topic: Big Data
Format: PDF
Linked2Safety (L2S) is an EU-funded research project which aims to build a next-generation, semantically interlinked, secure medical and clinical information space. This paper proposes a Bayesian Association Rule mining algorithm (BAR) which combines the Apriori association rule mining algorithm with Bayesian networks. Two interestingness measures of association rules: Bayesian Confidence (BC) and Bayesian Lift (BL) which measure conditional dependence and independence relationships between items are defined based on the joint probabilities represented by the Bayesian networks of association rules.
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