discretization-package {discretization} | R Documentation |
Data preprocessing, discretization for classification.
Description
This package is a collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.
Details
Package: | discretization |
Type: | Package |
Version: | 1.0-1 |
Date: | 2010-12-02 |
License: GPL LazyLoad: | yes |
Author(s)
Maintainer: HyunJi Kim <polaris7867@gmail.com>
References
Choi, B. S., Kim, H. J., Cha, W. O. (2011). A Comparative Study on Discretization Algorithms for Data Mining, Communications of the Korean Statistical Society, to be published.
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Fayyad, U. M. and Irani, K. B.(1993). Multi-interval discretization of continuous-valued attributes for classification learning, Artificial intelligence, 13, 1022–1027.
Gonzalez-Abril, L., Cuberos, F. J., Velasco, F. and Ortega, J. A. (2009), Ameva: An autonomous discretization algorithm,Expert Systems with Applications, 36, 5327–5332.
Kerber, R. (1992). ChiMerge : Discretization of numeric attributes, In Proceedings of the Tenth National Conference on Artificial Intelligence, 123–128.
Kurgan, L. A. and Cios, K. J. (2004). CAIM Discretization Algorithm, IEEE Transactions on knowledge and data engineering, 16, 145-153.
Liu, H. and Setiono, R. (1995). Chi2: Feature selection and discretization of numeric attributes, Tools with Artificial Intelligence, 388–391.
Liu, H. and Setiono, R. (1997). Feature selection and discretization, IEEE transactions on knowledge and data engineering, 9, 642–645.
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Su, C. T. and Hsu, J. H. (2005). An Extended Chi2 Algorithm for Discretization of Real Value Attributes, IEEE transactions on knowledge and data engineering, 17, 437–441.
Tay, F. E. H. and Shen, L. (2002). Modified Chi2 Algorithm for Discretization, IEEE Transactions on knowledge and data engineering, 14, 666–670.
Tsai, C. J., Lee, C. I. and Yang, W. P. (2008). A discretization algorithm based on Class-Attribute Contingency Coefficient, Information Sciences, 178, 714–731.
Ziarko, W. (1993). Variable Precision Rough Set Model, Journal of computer and system sciences, Vol. 46, No. 1, 39–59.