Mining Approximate Frequent Itemsets from Noisy Data

Jinze Liu, Susan Paulsen, Wei Wang 0010, Andrew B. Nobel, Jan Prins. Mining Approximate Frequent Itemsets from Noisy Data. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA. pages 721-724, IEEE Computer Society, 2005. [doi]

@inproceedings{LiuPWNP05,
  title = {Mining Approximate Frequent Itemsets from Noisy Data},
  author = {Jinze Liu and Susan Paulsen and Wei Wang 0010 and Andrew B. Nobel and Jan Prins},
  year = {2005},
  doi = {10.1109/ICDM.2005.93},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.93},
  tags = {data-flow},
  researchr = {https://researchr.org/publication/LiuPWNP05},
  cites = {0},
  citedby = {0},
  pages = {721-724},
  booktitle = {Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-2278-5},
}