M. Antonie and O. R. Zaïane, An associative classifier based on positive and negative rules, Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery , DMKD '04, pp.64-69, 2004.
DOI : 10.1145/1008694.1008705

C. L. Blake and C. J. Merz, UCI Repository of machine learning databases, 1998.

C. Brunk and M. Pazzani, An Investigation of Noise-Tolerant Relational Concept Learning Algorithms, Proceedings of the 8 th International Workshop on Machine Learning, 1991.
DOI : 10.1016/B978-1-55860-200-7.50080-5

W. Cohen, Fast Effective Rule Induction, Proceedings of the 12 th International Conference on Machine Learning (ICML), pp.115-123, 1995.
DOI : 10.1016/B978-1-55860-377-6.50023-2

F. Debole and F. Sebastiani, Supervised term weighting for automated text categorization, Proceedings of the 18 th ACM Symposium on Applied Computing, pp.784-788, 2003.

J. Fürnkranz and G. Widmer, Incremental Reduced Error Pruning, Proceedings of the 11 th International Conference on Machine Learning (ICML), 1994.
DOI : 10.1016/B978-1-55860-335-6.50017-9

L. Galavotti, F. Sebastiani, and M. Simi, Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization, Proceedings of the 4 th European Conference on Research and Advanced Technology for Digital Libraries, pp.59-68, 2000.
DOI : 10.1007/3-540-45268-0_6

J. Han and M. Kamber, Data Mining, 2006.
DOI : 10.1007/978-1-4899-7993-3_104-2

P. Rullo, C. Cumbo, and V. L. Policicchio, Learning rules with negation for text categorization, Proceedings of the 2007 ACM symposium on Applied computing , SAC '07, pp.409-416, 2007.
DOI : 10.1145/1244002.1244098

S. M. Weiss and N. Indurkhya, Optimized rule induction, IEEE Expert: Intelligent Systems and Their Applications, pp.61-69, 1993.
DOI : 10.1109/64.248354

Z. Wu, C. Zhang, and S. Zhang, Efficient mining of both positive and negative association rules, Proceedings of the 19 th International Conference on Machine Learning, pp.658-665, 2002.
DOI : 10.1145/1010614.1010616

Y. Yang and J. Pedersen, A comparative study on feature selection in text categorization, Proceedings of the 14 th International Conference on Machine Learning (ICML), pp.413-420, 1997.

Z. Zheng and R. Srihari, Optimally combining positive and negative features for text categorization, Proceedings of the International Conference on Machine Learning (ICML), Workshop on Learning from Imbalanced Datasets II, 2003.