Privacy preserving association rule mining by introducing concept of impact factor

@article{Pathak2012PrivacyPA,
  title={Privacy preserving association rule mining by introducing concept of impact factor},
  author={Kshitij Pathak and Narendra S. Chaudhari and Aruna Tiwari},
  journal={2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)},
  year={2012},
  pages={1458-1461}
}
Association Rules discovered by association rule mining may contain some sensitive rules, which may cause potential threats towards privacy and security. Many of the researchers in this area have recently made efforts to preserve privacy for sensitive association rules in statistical database. In this paper, we propose a heuristic based association rule hiding using oracle real application clusters by introducing the concept of impact factor of transaction on the rule. The impact factor of a… CONTINUE READING

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