Privacy Preserving Association Rule Mining Revisited: Privacy Enhancement and Resources Efficiency

@article{Mohaisen2010PrivacyPA,
  title={Privacy Preserving Association Rule Mining Revisited: Privacy Enhancement and Resources Efficiency},
  author={Aziz Mohaisen and Nam-Su Jho and Dowon Hong and DaeHun Nyang},
  journal={IEICE Transactions},
  year={2010},
  volume={93-D},
  pages={315-325}
}
Privacy preserving association rule mining algorithms have been designed for discovering the relations between variables in data while maintaining the data privacy. In this article we revise one of the recently introduced schemes for association rule mining using fake transactions (FS). In particular, our analysis shows that the FS scheme has exhaustive storage and high computation requirements for guaranteeing a reasonable level of privacy. We introduce a realistic definition of privacy that… CONTINUE READING

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