Genetic Programming Decision Tree for Bankruptcy Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Wo-Chiang Lee",
  title =        "Genetic Programming Decision Tree for Bankruptcy
  booktitle =    "Proceedings of the 2006 Joint Conference on
                 Information Sciences, JCIS 2006",
  year =         "2006",
  publisher =    "Atlantis Press",
  address =      "Kaohsiung, Taiwan, ROC",
  month =        oct # " 8-11",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "90-78677-01-5",
  bibsource =    "DBLP,",
  broken =       "",
  DOI =          "doi:10.2991/jcis.2006.8",
  size =         "4 pages",
  abstract =     "In this paper, we apply the CART ,C5.0 , GP decision
                 tree classifiers and compares with logic model and ANN
                 model for Taiwan listed electronic companies bankruptcy
                 prediction. Results reveal that the GP decision tree
                 can outperform all the classifiers either in overall
                 percentage of correct or k-fold cross validation test
                 in out sample. That is to say, GP decision tree model
                 have the highest accuracy and lowest expected
                 misclassification costs. It can provide an efficient
                 alternative to discriminates financial distress
                 problems in Taiwan.",
  notes =        "CIEF-76",

Genetic Programming entries for Woh-Chiang Lee