A Comparison of Six Approaches to Discretization—A Rough Set Perspective

Author:

Blajdo Piotr,Grzymala-Busse Jerzy W.,Hippe Zdzislaw S.,Knap Maksymilian,Mroczek Teresa,Piatek Lukasz

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees, Wadsworth & Brooks, Monterey, CA (1984)

2. Chao, L.L.: Introduction to Statistics. Brooks Cole Publishing Co., Monterey (1980)

3. Chan, C.C., Grzymala-Busse, J.W.: On the attribute redundancy and the learning programs ID3, PRISM, and LEM2. Department of Computer Science, University of Kansas, TR-91-14 (1991)

4. Chmielewski, M.R., Grzymala-Busse, J.W.: Global discretization of continuous attributes as preprocessing for machine learning. Int. Journal of Approximate Reasoning 15, 319–331 (1996)

5. Dougherty, J., Kohavi, R., Sahami, M.: Supervised and unsupervised discretization of continuous features. In: 12-th International Conference on Machine Learning, pp. 194–202. Morgan Kaufmann, San Francisco (1995)

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