An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining

An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining. Kantarcioglu, M., Nix, R., & Vaidya, J. In Theeramunkong, T., Kijsirikul, B., Cercone, N., & Ho, T. B., editors, Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, volume 5476, of Lecture Notes in Computer Science, pages 515–524, 2009. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/pakdd/KantarciogluNV09,
  author       = {Murat Kantarcioglu and
                  Robert Nix and
                  Jaideep Vaidya},
  editor       = {Thanaruk Theeramunkong and
                  Boonserm Kijsirikul and
                  Nick Cercone and
                  Tu Bao Ho},
  title        = {An Efficient Approximate Protocol for Privacy-Preserving Association
                  Rule Mining},
  booktitle    = {Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia
                  Conference, {PAKDD} 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {5476},
  pages        = {515--524},
  publisher    = {Springer},
  year         = {2009},
  url          = {https://doi.org/10.1007/978-3-642-01307-2\_48},
  doi          = {10.1007/978-3-642-01307-2\_48},
  timestamp    = {Fri, 25 Dec 2020 01:15:13 +0100},
  biburl       = {https://dblp.org/rec/conf/pakdd/KantarciogluNV09.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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