Selecting Relevant Association Rules From Imperfect Data

Cécile L'Héritier, Sébastien Harispe, Abdelhak Imoussaten, Gilles Dusserre, Benoît Roig. Selecting Relevant Association Rules From Imperfect Data. In Nahla Ben Amor, Benjamin Quost, Martin Theobald, editors, Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings. Volume 11940 of Lecture Notes in Computer Science, pages 107-121, Springer, 2019. [doi]

@inproceedings{LHeritierHIDR19,
  title = {Selecting Relevant Association Rules From Imperfect Data},
  author = {Cécile L'Héritier and Sébastien Harispe and Abdelhak Imoussaten and Gilles Dusserre and Benoît Roig},
  year = {2019},
  doi = {10.1007/978-3-030-35514-2_9},
  url = {https://doi.org/10.1007/978-3-030-35514-2_9},
  researchr = {https://researchr.org/publication/LHeritierHIDR19},
  cites = {0},
  citedby = {0},
  pages = {107-121},
  booktitle = {Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings},
  editor = {Nahla Ben Amor and Benjamin Quost and Martin Theobald},
  volume = {11940},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-35514-2},
}