Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge

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

@InProceedings{ngan:1998:ugbGPdmmk,

• 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 = "http://cptra.ln.edu.hk/~mlwong/conference/gp1998b.pdf",
• 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

Citations