Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Po Shun Ngan and Man Leung Wong and 
                 Kwong Sak Leung and Jack C. Y. Cheng",
  title =        "Using Grammar Based Genetic Programming for Data
                 Mining of Medical Knowledge",
  booktitle =    "Genetic Programming 1998: Proceedings of the Third
                 Annual Conference",
  year =         "1998",
  editor =       "John R. Koza and Wolfgang Banzhaf and 
                 Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max H. Garzon and 
                 David E. Goldberg and Hitoshi Iba and Rick Riolo",
  pages =        "254--259",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "San Francisco, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-548-7",
  URL =          "",
  size =         "6 pages",
  abstract =     "We have developed a rule learning system that employed
                 Grammar Based Genetic Programming for knowledge
                 discovery from databases. A grammar is used as a
                 template for the rule format. Grammar Based Genetic
                 Programming can guide the evolution and the discovery
                 of meaningful rules. The technique Token competition is
                 used to achieve the learning of multiple rules
                 simultaneously. We have applied the approach to real
                 life medical databases. The rules discovered can
                 provide insight into and allow better understanding of
                 the medical domains.",
  notes =        "GP-98",

Genetic Programming entries for Po Shun Ngan Man Leung Wong Kwong-Sak Leung Jack Chun-yiu Cheng