Publications: Discretization for naive Bayes

4.Yang, Y. and G.I. Webb (2003). Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. In K-Y. Whang, J. Jeon, K. Shim and J. Srivastava (Eds.), Lecture Notes in Artificial Intelligence Vol. 2637: Proceedings of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'03) Seoul, Korea. Berlin/Heidelberg: Springer-Verlag, pages 501-512. [Abstract] [Pre-publication PDF][Link to paper via Springerlink]

3.Yang, Y. and G. I. Webb (2003). On Why Discretization Works for Naive-Bayes Classifiers. In T.D. Gedeon and L.C.C. Fung (Eds.), Lecture Notes in Artificial Intelligence Vol. 2903: Proceedings of the 16th Australian Conference on Artificial Intelligence (AI 03) Perth, Australia. Berlin/Heidelberg: Springer, pages 440-452. [Abstract] [Pre-publication PDF][Link to paper via Springerlink]

2.Yang, Y. and G. I. Webb (2002). Non-Disjoint Discretization for Naive-Bayes Classifiers. In C. Sammut and A.G. Hoffmann (Eds.), Proceedings of the Nineteenth International Conference on Machine Learning (ICML '02) Sydney, Australia. San Francisco: Morgan Kaufmann, pages 666-673. [Abstract] [Pre-publication PDF]

1.Yang, Y. and G. I. Webb (2002). A Comparative Study of Discretization Methods for Naive-Bayes Classifiers. In T. Yamaguchi, A. Hoffmann, H. Motoda and P. Compton (Eds.), Proceedings of the 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW'02) Tokyo, Japan. Tokyo: Japanese Society for Artificial Intelligence, pages 159-173. [Abstract] [PDF]