TY  - CONF
T1  - Comparing genetic programming variants for data classification
T2  - Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99)
Y1  - 1999
A1  - Eggermont, J.
A1  - Eiben, A. E.
A1  - van Hemert, J. I.
ED  - E. Postma
ED  - M. Gyssens
KW  - classification
KW  - data mining
KW  - genetic programming
AB  - This article is a combined summary of two papers written by the authors.  Binary data classification problems (with exactly two disjoint classes) form an important application area of machine learning techniques, in particular genetic programming (GP). In this study we compare a number of different variants of GP applied to such problems whereby we investigate the effect of two significant changes in a fixed GP setup in combination with two different evolutionary models
JF  - Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99)
PB  - BNVKI, Dutch and the Belgian AI Association
ER  -