Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications-Reference-Cited by-同舟云学术

Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications

Published:2013 Issue: Volume:22 Page:295-302
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Alsolami Fawaz,Chikalov Igor,Moshkov Mikhail,Zielosko Beata

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. F. Alsolami, I. Chikalov, M. Moshkov, B. Zielosko, Length and coverage of inhibitory decision rules, in: Computational Collective Intelligence. Technologies and Applications, Vol. 7654 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2012, pp. 325-334.

2. F. Alsolami, I. Chikalov, M. Moshkov, B. Zielosko, Optimization of inhibitory decision rules relative to length and coverage, in: Rough Sets and Knowledge Technology, Vol. 7414 of Lecture Notes in Computer Science, Springer, 2012, pp. 149-154.

3. A. Asuncion, D.J. Newman, UCI Machine Learning Repository (http://www.ics.uci.edu/ffmlearn/, 2007).

4. H. Nguyen, Approximate boolean reasoning: Foundations and applications in data mining, in: Transactions on Rough Sets V, Vol. 4100 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2006, pp. 334-506.

5. Rough sets and boolean reasoning;Pawlak;Information Sciences,2007

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