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Hiding Sensitive Association Rule Using Heuristic Approach

Keywords: Association Rule Hiding , Data Mining , Privacy Preserving Data Mining , Distortion , Representative Rule.

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Abstract:

Data mining is the process of identifying patterns from large amount of data. Association rule mining aims to discover dependency relationships across attributes. It may also disclose sensitive information. With extensive application of data mining techniques to various domains, privacy preservation becomes mandatory. Association rule hiding is one of the techniques of privacy preserving data mining to protect the sensitive association rules generated by association rule mining. This paper adopts heuristic approach for hiding sensitive association rules. The proposed technique makes the representative rules and hides the sensitive rules.

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