GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/adma/WeinertL06,
  title =        "{GEPCLASS}: {A} Classification Rule Discovery Tool
                 Using Gene Expression Programming",
  author =       "Wagner R. Weinert and Heitor S. Lopes",
  booktitle =    "Advanced Data Mining and Applications, Proceedings of
                 the Second International Conference, {ADMA}",
  year =         "2006",
  editor =       "Xue Li and Osmar R. Za{\"i}ane and Zhanhuai Li",
  volume =       "4093",
  series =       "Lecture Notes in Computer Science",
  pages =        "871--880",
  address =      "Xi'an, China",
  month =        aug # " 14-16",
  publisher =    "Springer",
  bibdate =      "2006-08-21",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/adma/adma2006.html#WeinertL06",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming",
  ISBN =         "3-540-37025-0",
  DOI =          "doi:10.1007/11811305_95",
  abstract =     "This work describes the use of a recently proposed
                 technique gene expression programming for knowledge
                 discovery in the data mining task of data
                 classification. We propose a new method for rule
                 encoding and genetic operators that preserve rule
                 integrity, and implemented a system, named GEPCLASS.
                 Due to its encoding scheme, the system allows the
                 automatic discovery of flexible rules, better fitted to
                 data. The performance of GEPCLASS was compared with two
                 genetic programming systems and with C4.5, over four
                 data sets in a five-fold cross-validation procedure.
                 The predictive accuracy for the methods compared were
                 similar, but the computational effort needed by
                 GEPCLASS was significantly smaller than the other.
                 GEPCLASS was able to find simple and accurate rules as
                 it can handle continuous and categorical attributes.",
}

Genetic Programming entries for Wagner R Weinert Heitor Silverio Lopes

Citations