An Exemplary Study of Privacy Preserving Association Rule Mining Techniques

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The Privacy Preserving Data Mining (PPDM) has become an important issue in recent years because of abundance of sensitive information on the internet. In this paper, the authors present taxonomy and a survey of recent approaches that have been applied to PPDM .Subsequently; they present taxonomy on Association Rule hiding algorithms. Association Rule mining and sensitive rule hiding is one of the hottest research areas in PPDM. Association rule hiding refers to the process of modifying the original databases in such a way that certain sensitive association rule disappear without seriously affecting the data and the non-sensitive rules. After survey of different techniques of association rule hiding, a detailed paper of metrics used to evaluate the performance of those approaches is also given.

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