Discovering comprehensible classification rules by
using Genetic Programming: a case study in a medical
domain
C. Bojarczuk, H. Lopes, and A. Freitas. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, page 953--958. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
Abstract
This work it is intended to discover classification
rules for diagnosing certain pathologies. These rules
are capable of discriminating among 12 different
pathologies, whose main symptom is chest pain. In order
to discover these rules it was used genetic programming
as well as some concepts of data mining, particularly
the emphasis on the discovery of comprehensible
knowledge.
Proceedings of the Genetic and Evolutionary
Computation Conference
year
1999
month
13-17 July
pages
953--958
publisher
Morgan Kaufmann
volume
2
publisher_address
San Francisco, CA 94104, USA
isbn
1-55860-611-4
notes
GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99).
See also bojarczuk:2000:kdcp
%0 Conference Paper
%1 bojarczuk:1999:DGP
%A Bojarczuk, Celia C.
%A Lopes, Heitor S.
%A Freitas, Alex A.
%B Proceedings of the Genetic and Evolutionary
Computation Conference
%C Orlando, Florida, USA
%D 1999
%E Banzhaf, Wolfgang
%E Daida, Jason
%E Eiben, Agoston E.
%E Garzon, Max H.
%E Honavar, Vasant
%E Jakiela, Mark
%E Smith, Robert E.
%I Morgan Kaufmann
%K algorithms, applications classification, data genetic medical mining, programming,
%P 953--958
%T Discovering comprehensible classification rules by
using Genetic Programming: a case study in a medical
domain
%U http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-417.ps
%V 2
%X This work it is intended to discover classification
rules for diagnosing certain pathologies. These rules
are capable of discriminating among 12 different
pathologies, whose main symptom is chest pain. In order
to discover these rules it was used genetic programming
as well as some concepts of data mining, particularly
the emphasis on the discovery of comprehensible
knowledge.
%@ 1-55860-611-4
@inproceedings{bojarczuk:1999:DGP,
abstract = {This work it is intended to discover classification
rules for diagnosing certain pathologies. These rules
are capable of discriminating among 12 different
pathologies, whose main symptom is chest pain. In order
to discover these rules it was used genetic programming
as well as some concepts of data mining, particularly
the emphasis on the discovery of comprehensible
knowledge.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Orlando, Florida, USA},
author = {Bojarczuk, Celia C. and Lopes, Heitor S. and Freitas, Alex A.},
biburl = {https://www.bibsonomy.org/bibtex/2cf03a554a655ee800c2e51641f2de714/brazovayeye},
booktitle = {Proceedings of the Genetic and Evolutionary
Computation Conference},
editor = {Banzhaf, Wolfgang and Daida, Jason and Eiben, Agoston E. and Garzon, Max H. and Honavar, Vasant and Jakiela, Mark and Smith, Robert E.},
interhash = {c69ca3306b9c8506eacfe86270bc4cbe},
intrahash = {cf03a554a655ee800c2e51641f2de714},
isbn = {1-55860-611-4},
keywords = {algorithms, applications classification, data genetic medical mining, programming,},
month = {13-17 July},
notes = {GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99).
See also \cite{bojarczuk:2000:kdcp}},
pages = {953--958},
publisher = {Morgan Kaufmann},
publisher_address = {San Francisco, CA 94104, USA},
timestamp = {2008-06-19T17:36:43.000+0200},
title = {Discovering comprehensible classification rules by
using Genetic Programming: a case study in a medical
domain},
url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-417.ps},
volume = 2,
year = 1999
}