Using Grammar Based Genetic Programming for Data
Mining of Medical Knowledge
P. Ngan, M. Wong, K. Leung, and J. Cheng. Genetic Programming 1998: Proceedings of the Third
Annual Conference, page 254--259. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)
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.
%0 Conference Paper
%1 ngan:1998:ugbGPdmmk
%A Ngan, Po Shun
%A Wong, Man Leung
%A Leung, Kwong Sak
%A Cheng, Jack C. Y.
%B Genetic Programming 1998: Proceedings of the Third
Annual Conference
%C University of Wisconsin, Madison, Wisconsin, USA
%D 1998
%E Koza, John R.
%E Banzhaf, Wolfgang
%E Chellapilla, Kumar
%E Deb, Kalyanmoy
%E Dorigo, Marco
%E Fogel, David B.
%E Garzon, Max H.
%E Goldberg, David E.
%E Iba, Hitoshi
%E Riolo, Rick
%I Morgan Kaufmann
%K algorithms, genetic programming
%P 254--259
%T Using Grammar Based Genetic Programming for Data
Mining of Medical Knowledge
%U http://cptra.ln.edu.hk/~mlwong/conference/gp1998b.pdf
%X 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.
%@ 1-55860-548-7
@inproceedings{ngan:1998:ugbGPdmmk,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {University of Wisconsin, Madison, Wisconsin, USA},
author = {Ngan, Po Shun and Wong, Man Leung and Leung, Kwong Sak and Cheng, Jack C. Y.},
biburl = {https://www.bibsonomy.org/bibtex/256c9267d44163572676a52029548ecc3/brazovayeye},
booktitle = {Genetic Programming 1998: Proceedings of the Third
Annual Conference},
editor = {Koza, John R. and Banzhaf, Wolfgang and Chellapilla, Kumar and Deb, Kalyanmoy and Dorigo, Marco and Fogel, David B. and Garzon, Max H. and Goldberg, David E. and Iba, Hitoshi and Riolo, Rick},
interhash = {961312b7c27ae1440067c91ec8ec9141},
intrahash = {56c9267d44163572676a52029548ecc3},
isbn = {1-55860-548-7},
keywords = {algorithms, genetic programming},
month = {22-25 July},
notes = {GP-98},
pages = {254--259},
publisher = {Morgan Kaufmann},
publisher_address = {San Francisco, CA, USA},
size = {6 pages},
timestamp = {2008-06-19T17:48:14.000+0200},
title = {Using Grammar Based Genetic Programming for Data
Mining of Medical Knowledge},
url = {http://cptra.ln.edu.hk/~mlwong/conference/gp1998b.pdf},
year = 1998
}