Mining quantitative correlated patterns using an information-theoretic approach

Yiping Ke, James Cheng, Wilfred Ng. Mining quantitative correlated patterns using an information-theoretic approach. In Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos, editors, Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006. pages 227-236, ACM, 2006. [doi]

@inproceedings{KeCN06:0,
  title = {Mining quantitative correlated patterns using an information-theoretic approach},
  author = {Yiping Ke and James Cheng and Wilfred Ng},
  year = {2006},
  doi = {10.1145/1150402.1150430},
  url = {http://doi.acm.org/10.1145/1150402.1150430},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/KeCN06%3A0},
  cites = {0},
  citedby = {0},
  pages = {227-236},
  booktitle = {Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006},
  editor = {Tina Eliassi-Rad and Lyle H. Ungar and Mark Craven and Dimitrios Gunopulos},
  publisher = {ACM},
  isbn = {1-59593-339-5},
}