Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation

Naji Alhusaini, Jing Li 0047, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen. Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation. In K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio, editors, IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. pages 490-496, IEEE, 2022. [doi]

@inproceedings{AlhusainiLFHC22,
  title = {Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation},
  author = {Naji Alhusaini and Jing Li 0047 and Philippe Fournier-Viger and Ammar Hawbani and Guilin Chen},
  year = {2022},
  doi = {10.1109/ICDMW58026.2022.00071},
  url = {https://doi.org/10.1109/ICDMW58026.2022.00071},
  researchr = {https://researchr.org/publication/AlhusainiLFHC22},
  cites = {0},
  citedby = {0},
  pages = {490-496},
  booktitle = {IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022},
  editor = {K. Selçuk Candan and Thang N. Dinh and My T. Thai and Takashi Washio},
  publisher = {IEEE},
  isbn = {979-8-3503-4609-1},
}