Deriving non-redundant approximate association rules from hierarchical datasets

Gavin Shaw, Yue Xu, Shlomo Geva. Deriving non-redundant approximate association rules from hierarchical datasets. In James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, Abdur Chowdhury, editors, Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008. pages 1451-1452, ACM, 2008. [doi]

@inproceedings{ShawXG08:2,
  title = {Deriving non-redundant approximate association rules from hierarchical datasets},
  author = {Gavin Shaw and Yue Xu and Shlomo Geva},
  year = {2008},
  doi = {10.1145/1458082.1458328},
  url = {http://doi.acm.org/10.1145/1458082.1458328},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/ShawXG08%3A2},
  cites = {0},
  citedby = {0},
  pages = {1451-1452},
  booktitle = {Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008},
  editor = {James G. Shanahan and Sihem Amer-Yahia and Ioana Manolescu and Yi Zhang and David A. Evans and Aleksander Kolcz and Key-Sun Choi and Abdur Chowdhury},
  publisher = {ACM},
  isbn = {978-1-59593-991-3},
}