An approach for protecting privacy association rules based on genetic algorithm

作者：Sun Lei^*; Zhu Yuquan

来源：Journal of Computational Information Systems, 2011, 7(15): 5573-5580.

• Association rules mining
• Privacy and accuracy
• Privacy protection
• Privacy rule
• Protection algorithms
• Protection effect
• Protection methods

For resolving the problem that the existing protection methods of privacy association rules in association rule mining is under the non-quota target's guidance and the privacy rule protection's actual result only after algorithms carry out can be able to confirm and the confirmation, a new privacy association rules protection algorithm called APPARBGA, which is based on genetic algorithm, is put forward. The algorithm use the protection effect to guide the association rules mining privacy protection process, effectively protect the privacy association rules, and ensure minimum the loss of the non-privacy association rules.Simulation test results show that APPDARM algorithm has a better privacy and accuracy.

• 出版日期2011