@inbook {IOPORT.02087901,
    author       = {Bernad\'o, Ester and Llor\`a, Xavier and Garrell, Josep M.},
    title        = {XCS and GALE: A comparative study of two learning classifier systems on data mining.},
    year         = {2002},
    booktitle    = {Advances in learning classifier systems. 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7--8, 2001, Revised papers},
    isbn         = {3-540-43793-2},
    pages        = {115-132},
    publisher    = {Berlin: Springer},
    abstract     = {Summary: This paper compares the learning performance, in terms of prediction accuracy, of two genetic-based learning systems, XCS and GALE, with six well-known learning algorithms, coming from instance based learning, decision tree induction, rule-learning, statistical modeling and support vector machines. The experiments, performed on several datasets, show the suitability of the genetic-based learning classifier systems for classification tasks. Both XCS and GALE significantly achieved better results than IB1 and Naive Bayes. Besides, any method could not outperform XCS and GALE significantly.},
    identifier   = {02087901},
}