Subgroup discovery meets Bayesian networks: an exceptional model mining approach
- Author
- Wouter Duivesteijn (UGent) , Arno Knobbe, Ad Feelders and Matthijs van Leeuwen
- Organization
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-7044918
- MLA
- Duivesteijn, Wouter, et al. “Subgroup Discovery Meets Bayesian Networks: An Exceptional Model Mining Approach.” 10th IEEE International Conference on Data Mining, Proceedings, 2010, pp. 158–67.
- APA
- Duivesteijn, W., Knobbe, A., Feelders, A., & van Leeuwen, M. (2010). Subgroup discovery meets Bayesian networks: an exceptional model mining approach. 10th IEEE International Conference on Data Mining, Proceedings, 158–167.
- Chicago author-date
- Duivesteijn, Wouter, Arno Knobbe, Ad Feelders, and Matthijs van Leeuwen. 2010. “Subgroup Discovery Meets Bayesian Networks: An Exceptional Model Mining Approach.” In 10th IEEE International Conference on Data Mining, Proceedings, 158–67.
- Chicago author-date (all authors)
- Duivesteijn, Wouter, Arno Knobbe, Ad Feelders, and Matthijs van Leeuwen. 2010. “Subgroup Discovery Meets Bayesian Networks: An Exceptional Model Mining Approach.” In 10th IEEE International Conference on Data Mining, Proceedings, 158–167.
- Vancouver
- 1.Duivesteijn W, Knobbe A, Feelders A, van Leeuwen M. Subgroup discovery meets Bayesian networks: an exceptional model mining approach. In: 10th IEEE International Conference on Data Mining, Proceedings. 2010. p. 158–67.
- IEEE
- [1]W. Duivesteijn, A. Knobbe, A. Feelders, and M. van Leeuwen, “Subgroup discovery meets Bayesian networks: an exceptional model mining approach,” in 10th IEEE International Conference on Data Mining, Proceedings, 2010, pp. 158–167.
@inproceedings{7044918, author = {{Duivesteijn, Wouter and Knobbe, Arno and Feelders, Ad and van Leeuwen, Matthijs}}, booktitle = {{10th IEEE International Conference on Data Mining, Proceedings}}, language = {{eng}}, pages = {{158--167}}, title = {{Subgroup discovery meets Bayesian networks: an exceptional model mining approach}}, year = {{2010}}, }