1. Alejo, R., Garcia, V., Sotoca, J., Mollineda, R., Sanchez, J.: Improving the Performance of the RBF Neural Networks with Imbalanced Samples. In: Proc. 9th Intl. Conf. on Artl. Neural Networks, pp. 162–169. Springer, Heidelberg (2007)
2. Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, Boosting and variants. J. Machine Learning 36, 105–139 (1999)
3. Brieman, L.: Bagging predictors. J. Machine Learning 24, 123–140 (1996)
4. Blake, C.L., Merz, C.J.: UCI Repository of machine learning databases. University of California (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html
5. Cao, L., Gorodetsky, V., Mitkas, P.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems 24(3), 64–72 (2009)