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Association Rule Mining (ARM) was introduced for the market basket analysis where items that are frequently appeared together per transaction are identified as rules. In such mining process, sensitivity issue of rules has never been addressed for more than a decade. Thus, research on guarding sensitivity in ARM should be attended to in priority by researchers, so that the risk of sensitive information...
Privacy Preserving Data Mining (PPDM) is receiving a lot of attention recently by researchers from multiple domains, especially in Association Rule Mining. The outputs of Association Rule Mining often involve values of attributes that can be used to characterize the identities of the users. The relations between antecedents and consequents are also explicitly displayed. The purpose of preserving association...
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