Argument graph classification with Genetic Programming and C4.5

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Collin Lynch and Kevin D. Ashley and 
                 Niels Pinkwart and Vincent Aleven",
  title =        "Argument graph classification with Genetic Programming
                 and C4.5",
  booktitle =    "The 1st International Conference on Educational Data
                 Mining 2008",
  year =         "2008",
  editor =       "Ryan Shaun Joazeiro de Baker and Tiffany Barnes and 
                 Joseph E. Beck",
  pages =        "137--146",
  address =      "Montreal, Quebec, Canada",
  month =        jun # " 20-21",
  publisher =    "",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  URL =          "",
  bibsource =    "DBLP,",
  language =     "en",
  oai =          "oai:CiteSeerXPSU:",
  abstract =     "In well-defined domains there exist well-accepted
                 criteria for detecting good and bad student solutions.
                 Many ITS implement these criteria characterize
                 solutions and to give immediate feedback. While this
                 has been shown to promote learning, it is not always
                 possible in ill-defined domains that typically lack
                 well-accepted criteria. In this paper we report on the
                 induction of classification rules for student solutions
                 in an ill-defined domain. We compare the viability of
                 classifications using statistical measures with
                 classification trees induced via C4.5 and Genetic
  notes =        "See also \cite{CollinLynch-Thesis-3-11-2014}",

Genetic Programming entries for Collin Lynch Kevin D Ashley Niels Pinkwart Vincent Aleven