An innovative application of a constrained-syntax
genetic programming system to the problem of predicting
survival of patients
C. Bojarczuk, H. Lopes, and A. Freitas. Genetic Programming, Proceedings of EuroGP'2003, volume 2610 of LNCS, page 11--21. Essex, Springer-Verlag, (14-16 April 2003)
Abstract
This paper proposes a constrained-syntax genetic
programming (GP) algorithm for discovering
classification rules in medical data sets. The proposed
GP contains several syntactic constraints to be
enforced by the system using a disjunctive normal form
representation, so that individuals represent valid
rule sets that are easy to interpret. The GP is
compared with C4.5 in a real-world medical data set.
This data set represents a difficult classification
problem, and a new preprocessing method was devised for
mining the data
%0 Conference Paper
%1 bojarczuk03
%A Bojarczuk, Celia C.
%A Lopes, Heitor S.
%A Freitas, Alex A.
%B Genetic Programming, Proceedings of EuroGP'2003
%C Essex
%D 2003
%E Ryan, Conor
%E Soule, Terence
%E Keijzer, Maarten
%E Tsang, Edward
%E Poli, Riccardo
%E Costa, Ernesto
%I Springer-Verlag
%K algorithms, applications classification, data genetic medical mining, programming,
%P 11--21
%T An innovative application of a constrained-syntax
genetic programming system to the problem of predicting
survival of patients
%U http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=11
%V 2610
%X This paper proposes a constrained-syntax genetic
programming (GP) algorithm for discovering
classification rules in medical data sets. The proposed
GP contains several syntactic constraints to be
enforced by the system using a disjunctive normal form
representation, so that individuals represent valid
rule sets that are easy to interpret. The GP is
compared with C4.5 in a real-world medical data set.
This data set represents a difficult classification
problem, and a new preprocessing method was devised for
mining the data
%@ 3-540-00971-X
@inproceedings{bojarczuk03,
abstract = {This paper proposes a constrained-syntax genetic
programming (GP) algorithm for discovering
classification rules in medical data sets. The proposed
GP contains several syntactic constraints to be
enforced by the system using a disjunctive normal form
representation, so that individuals represent valid
rule sets that are easy to interpret. The GP is
compared with C4.5 in a real-world medical data set.
This data set represents a difficult classification
problem, and a new preprocessing method was devised for
mining the data},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Essex},
author = {Bojarczuk, Celia C. and Lopes, Heitor S. and Freitas, Alex A.},
biburl = {https://www.bibsonomy.org/bibtex/295c5a792d68b5c42b71007cfbbca1cc1/brazovayeye},
booktitle = {Genetic Programming, Proceedings of EuroGP'2003},
editor = {Ryan, Conor and Soule, Terence and Keijzer, Maarten and Tsang, Edward and Poli, Riccardo and Costa, Ernesto},
interhash = {c74e526b54e3336875e1a9db73b5c059},
intrahash = {95c5a792d68b5c42b71007cfbbca1cc1},
isbn = {3-540-00971-X},
keywords = {algorithms, applications classification, data genetic medical mining, programming,},
month = {14-16 April},
notes = {EuroGP'2003 held in conjunction with EvoWorkshops
2003},
organisation = {EvoNet},
pages = {11--21},
publisher = {Springer-Verlag},
publisher_address = {Berlin},
series = {LNCS},
timestamp = {2008-06-19T17:36:44.000+0200},
title = {An innovative application of a constrained-syntax
genetic programming system to the problem of predicting
survival of patients},
url = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=11},
volume = 2610,
year = 2003
}