International Journal of Computer Applications
An interesting new direction for data mining research is the development of techniques that incorporate privacy concerns for association rules. In this paper, the authors present a framework for mining association rules from various transactions. These transactions mainly consisting of categorical items, where the data has to preserve privacy of individual transactions. By using uniform randomization, it is feasible to recover association rules, but these rules are in turn being exploited to find privacy breaches.