Using imprecise user knowledge to reduce redundancy in Association Rules

Julio Diaz, Carlos Molina, M. Amparo Vila. Using imprecise user knowledge to reduce redundancy in Association Rules. In José M. Alonso, Humberto Bustince, Marek Reformat, editors, 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), Gijón, Spain., June 30, 2015. Atlantis Press, 2015.

@inproceedings{DiazMV15,
  title = {Using imprecise user knowledge to reduce redundancy in Association Rules},
  author = {Julio Diaz and Carlos Molina and M. Amparo Vila},
  year = {2015},
  researchr = {https://researchr.org/publication/DiazMV15},
  cites = {0},
  citedby = {0},
  booktitle = {2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), Gijón, Spain., June 30, 2015},
  editor = {José M. Alonso and Humberto Bustince and Marek Reformat},
  publisher = {Atlantis Press},
  isbn = {978-94-62520-77-6},
}