Rule discovery in Web-based educational systems using Grammar-Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{RVHE2005,
  author =       "C. Romero and S. Ventura and C. Hervas and 
                 P. Gonzalez",
  title =        "Rule discovery in Web-based educational systems using
                 Grammar-Based Genetic Programming",
  booktitle =    "Data Mining VI: Data Mining, Text Mining and their
                 Business Applications",
  publisher =    "WitPress",
  year =         "2005",
  editor =       "A. Zanasi and C. A. Brebbia and N. Ebecken",
  volume =       "35",
  series =       "Information and Communication Technologies",
  pages =        "113--126",
  keywords =     "genetic algorithms, genetic programming, web usage
                 mining, rule discovery, web-based adaptive education,
                 evolutionary algorithms, grammar-based genetic
                 programming",
  ISBN =         "1-84564-017-9",
  URL =          "http://library.witpress.com/pages/listPapers.asp?q_bid=327",
  DOI =          "doi:10.2495/DATA050211",
  abstract =     "This paper describes the use of data mining methods in
                 an e-learning system for providing feedback to
                 courseware authors.

                 The discovered information is presented in the form of
                 prediction rules since these are highly comprehensible
                 and they show important relationships among the
                 presented data.

                 The rules will be used to improve courseware,
                 particularly Adaptive Systems for Web-based Education
                 (ASWE). We propose to use evolutionary algorithms as
                 the rule discovery methods, concretely Grammar-Based
                 Genetic Programming (GBGP) with multi-objective
                 optimisation techniques. We have developed a specific
                 tool named EPRules (Education Prediction Rules) to
                 facilitate and simplify the knowledge discovery process
                 for usage data in web-based education systems.",
  size =         "10 pages",
}

Genetic Programming entries for Cristobal Romero Morales Sebastian Ventura Cesar Hervas Martinez Pedro Gonzalez Espejo

Citations