Sensitive Itemset Hiding in Multi-level Association Rule Mining
نویسنده
چکیده
-Enormous numbers of intelligent data mining techniques are in usage to discover hidden patterns. Especially Association rule mining has a high impact on business improvement. However mining association rules at multiplelevel may lead to discovery of more specific and concrete knowledge from data. Privacy is needed in order to withstand the business competence. Now-a-days privacy preserving data mining is an important research area. In this paper we propose to apply sensitive itemset hiding algorithm [3] on multi level association Rule mining results, such that frequent items information is retained while sensitive items are hidden.
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