Mining Fuzzy Classification Rules Using an Artificial Immune System with Boosting

Author:

Alatas Bilal,Akin Erhan

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Academic Press, San Francisco (2001)

2. Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computation Intelligence Approach. Springer, Berlin (2002)

3. de Castro, L.N., Von Zuben, F.J.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transaction on Evolutionary Computation 6(3), 239–251 (2002)

4. Freund, Y., Schapire, R.E.: Experiments with a New Boosting Algorithm. In: Proc. of the 13th Int. Conf. on Machine Learning ML 1996, pp. 148–156 (1996)

5. Gonzales, F.A., Dasgupta, D.: An Immunogenetic Technique to Detect Anomalies in Network Traffic. In: Proceedings of Genetic and Evolutionary Computation, pp. 1081–1088. Morgan Kaufmann, San Mateo (2002)

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