abstract = "This article, which lies within the data mining
framework, proposes a method to build classifiers based
on the evolution of rules. The method, named REC (Rule
Evolution for Classifiers), has three main features: it
applies genetic programming to perform a search in the
space of potential solutions; a procedure allows
biasing the search towards regions of comprehensible
hypothesis with high predictive quality and it includes
a strategy for the selection of an optimum subset of
rules (classifier) from the rules obtained as the
result of the evolutionary process. A comparative study
between this method and the rule induction algorithm
C5.0 is carried out for two application problems (data
sets). Experimental results show the advantages of
using the method proposed.",
notes = "CEC 2007 - A joint meeting of the IEEE, the EPS, and
the IET.