Evolving decision rules to predict investment opportunities

Author:

Garcia-Almanza Alma Lilia,Tsang Edward P. K.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference32 articles.

1. A. L. Garcia-Almanza, E. P. K. Tsang, E. Galvan-Lopez. Evolving Decision Rules to Discover Patterns in Financial Data Sets. Computational Methods in Financial Engineering, to be published.

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3. G. M. Weiss. Mining with Rarity: A Unifying Framework. ACM SIGKDD Explorations Newsletter, vol. 6, no. 1, pp. 7–19, 2004.

4. G. E. A. P. A. Batista, R. C. Prati, M. C. Monard. A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data. ACM SIGKDD Explorations Newsletter, vol. 6, no. 1, pp. 20–29, 2004.

5. K. McCarthy, B. Zabar, G. Weiss. Does Cost-sensitive Learning Beat Sampling for Classifying Rare Classes? In Proceedings of the 1st International Workshop on Utilitybased Data Mining, ACM Press, New York, NY, USA, pp. 69–77, 2005.

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