Computational intelligence methods for rule-based data understanding
10.1109/JPROC.2004.826605
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sg-nus-scholar.10635-426112023-10-25T23:21:58Z Computational intelligence methods for rule-based data understanding Duch, W. Setiono, R. Zurada, J.M. INFORMATION SYSTEMS Data mining Decision support Decision trees Feature selection Fuzzy systems Inductive learning Logical rule extraction Machine learning (ML) Neural networks, neurofuzzy systems 10.1109/JPROC.2004.826605 Proceedings of the IEEE 92 5 771-805 IEEPA 2013-07-11T10:13:40Z 2013-07-11T10:13:40Z 2004 Conference Paper Duch, W., Setiono, R., Zurada, J.M. (2004). Computational intelligence methods for rule-based data understanding. Proceedings of the IEEE 92 (5) : 771-805. ScholarBank@NUS Repository. https://doi.org/10.1109/JPROC.2004.826605 00189219 http://scholarbank.nus.edu.sg/handle/10635/42611 000220997800002 Scopus |
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Data mining Decision support Decision trees Feature selection Fuzzy systems Inductive learning Logical rule extraction Machine learning (ML) Neural networks, neurofuzzy systems |
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Data mining Decision support Decision trees Feature selection Fuzzy systems Inductive learning Logical rule extraction Machine learning (ML) Neural networks, neurofuzzy systems Duch, W. Setiono, R. Zurada, J.M. Computational intelligence methods for rule-based data understanding |
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10.1109/JPROC.2004.826605 |
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INFORMATION SYSTEMS |
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INFORMATION SYSTEMS Duch, W. Setiono, R. Zurada, J.M. |
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Conference or Workshop Item |
author |
Duch, W. Setiono, R. Zurada, J.M. |
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Duch, W. |
title |
Computational intelligence methods for rule-based data understanding |
title_short |
Computational intelligence methods for rule-based data understanding |
title_full |
Computational intelligence methods for rule-based data understanding |
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Computational intelligence methods for rule-based data understanding |
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Computational intelligence methods for rule-based data understanding |
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computational intelligence methods for rule-based data understanding |
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2013 |
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http://scholarbank.nus.edu.sg/handle/10635/42611 |
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