How to measure interestingness in data mining: a multiple criteria decision analysis approach

Martine Collard, Jean-Claude Vansnick. How to measure interestingness in data mining: a multiple criteria decision analysis approach. In Colette Rolland, Oscar Pastor, Jean-Louis Cavarero, editors, Proceedings of the First International Conference on Research Challenges in Information Science, RCIS 2007, Ouarzazate, Morocco, April 23-26, 2007. pages 395-400, 2007.

@inproceedings{CollardV07,
  title = {How to measure interestingness in data mining: a multiple criteria decision analysis approach},
  author = {Martine Collard and Jean-Claude Vansnick},
  year = {2007},
  tags = {analysis, data-flow analysis, systematic-approach},
  researchr = {https://researchr.org/publication/CollardV07},
  cites = {0},
  citedby = {0},
  pages = {395-400},
  booktitle = {Proceedings of the First International Conference on Research Challenges in Information Science, RCIS 2007, Ouarzazate, Morocco, April 23-26, 2007},
  editor = {Colette Rolland and Oscar Pastor and Jean-Louis Cavarero},
}