Argument graph classification with Genetic Programming and C4.5

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/edm/LynchAPA08,

• 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 = "www.educationaldatamining.org",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.educationaldatamining.org/EDM2008/uploads/proc/14_Lynch_43.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.7750",
• URL = "http://www.cs.cmu.edu/~aleven/Papers/2008/Lynch_ea_EDM2008.pdf",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.141.7750",
• 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 Programming.",
• notes = "See also \cite{CollinLynch-Thesis-3-11-2014}",

}

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

Citations