An Efficient Method for Computing All Reducts
Author:
Affiliation:
1. Aichi Information System
2. School of Information, Renmin University of China
3. School of Management, Zhejiang University, China
4. Department of Information Networking Eng., Aichi Institute of Technology
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
http://www.jstage.jst.go.jp/article/tjsai/19/3/19_3_166/_pdf
Reference20 articles.
1. [Bao 01] Y. Bao, X. Du, M. Deng and N. Ishii,``An Efficient Incremental Algorithm for Computing All Reducts'', Proc. 2nd International Conf. on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Nagoya, Japan, pp.956-962, Aug. 2001.
2. [Bao 02a] Y. Bao, X. Du, M. Deng and N. Ishii, ``An Efficient Algorithm for Computing All Reducts'', Proc. 3nd International Conf. on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Spain, pp. 241-246, 2002.
3. Improving Performance of the k-Nearest Neighbor Classifier by Combining Feature Selection with Feature Weighting.
4. [Bao 02c] Y. Bao and N. Ishii,``Combining multiple k-Nearest Neighbor Classifiers for Text Classification by Reducts'', Proc. 5th International Conference on Discovery Science(LNAI-DS02, Springer-Verlag), Germany, pp. 361-368, November, 2002.
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