Genetic Network Programming Based Data Mining Method for Extracting Fuzzy Association Rules

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

  author =       "Karla Taboada and Eloy Gonzales and Kaoru Shimada and 
                 Kotaro Hirasawa",
  title =        "Genetic Network Programming Based Data Mining Method
                 for Extracting Fuzzy Association Rules",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "1756--1763",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0434.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631027",
  abstract =     "In this paper, a new data mining algorithm is proposed
                 to enhance the capability of exploring interesting
                 knowledge from databases with continuous values. The
                 algorithm integrates Fuzzy Set Theory and ``Genetic
                 Network Programming (GNP)'' to find interesting fuzzy
                 association rules from given transaction data. GNP is a
                 novel evolutionary Optimization technique, which uses
                 directed graph structures as gene instead of strings
                 (Genetic Algorithms) or trees (Genetic Programming),
                 contributing to creating quite compact programs and
                 implicitly memorising past action sequences. We adopt
                 the Fuzzy Set Theory to mine associate rules that can
                 be expressed in linguistic terms, which are more
                 natural and understandable for human beings. The
                 proposed method can measure the significance of the
                 extracted association rules using support, confidence
                 and x2 test,
                 and obtains a sufficient number of important
                 association rules in a short time. Experiments
                 conducted on real world databases are also made to
                 verify the performances of the proposed method.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for Karla Taboada Eloy Gonzales Kaoru Shimada Kotaro Hirasawa