Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution-Reference-Cited by-同舟云学术

Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution

Published:2001 Issue: Volume: Page:314-325
ISSN:0302-9743
Container-title:Principles of Data Mining and Knowledge Discovery
language:
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Author:

Mendes Roberto R. F.,de Voznika Fabricio B.,Freitas Alex A.,Nievola Julio C.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44794-6_26

Reference21 articles.

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2. P.J. Bentley. “Evolutionary, my dear Watson”-investigating committee-based evolution of fuzzy rules for the detection of suspicious insurance claims. Proc. Genetic and Evolutionary Computation Conf. (GECCO-2000), 702–709. Morgan Kaufmann, 2000.

3. L.A. Breslow and D.W. Aha. Simplifying decision trees: a survey. The Knowledge Engineering Review, 12(1), 1–40. Mar. 1997.

4. M. Delgado, F.V. Zuben and F. Gomide. Modular and hierarchical evolutionary design of fuzzy systems. Proc. Genetic and Evolutionary Computation Conf. (GECCO-99), 180–187. Morgan Kaufmann, 1999.

5. U.M. Fayyad, G. Piatetsky-Shapiro and P. Smyth. From data mining to knowledge discovery: an overview. In: U.M. Fayyad et al. (Eds.) Advances in Knowledge Discovery & Data Mining, 1–34. AAAI/MIT, 1996.

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