Efficient Privacy-Preserving Association Rule Mining: P4P Style

Yitao Duan, John F. Canny, Justin Z. Zhan. Efficient Privacy-Preserving Association Rule Mining: P4P Style. In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, part of the IEEE Symposium Series on Computational Intelligence 2007, Honolulu, Hawaii, USA, 1-5 April 2007. pages 654-660, IEEE, 2007. [doi]

@inproceedings{DuanCZ07,
  title = {Efficient Privacy-Preserving Association Rule Mining: P4P Style},
  author = {Yitao Duan and John F. Canny and Justin Z. Zhan},
  year = {2007},
  doi = {10.1109/CIDM.2007.368938},
  url = {http://doi.ieeecomputersociety.org/10.1109/CIDM.2007.368938},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/DuanCZ07},
  cites = {0},
  citedby = {0},
  pages = {654-660},
  booktitle = {Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, part of the IEEE Symposium Series on Computational Intelligence 2007, Honolulu, Hawaii, USA, 1-5 April 2007},
  publisher = {IEEE},
}