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Privacy has been identified as a vital requirement in designing and implementing Data Mining (DM) systems. This motivated Privacy Preservation in Data Mining (PPDM) as a rising field of research and various approaches are being introduced by the researchers. One of the approaches is a sanitization process, that transforms the source database into a modified one that the adversaries cannot extract the sensitive patterns from. This study address this concept and proposes an effective heuristic-based algorithm which is aimed at minimizing the number of removal of items in the source database possibly with no hiding failure.

An Effective Heuristic Approach for Hiding Sensitive Patterns in Databases