Bojarczuk, C.C. and Lopes, H.S. and Freitas, A.A. (2003) An innovative application of a constrained-syntax genetic programming system to the problem of predicting survival of patients. In: Ryan, C. and Keijzer, M. and Poli, R. and Soule, T. and Tsang, E. and Costa, E., eds. Lecture Notes In Computer Science. Lecture Notes in Computer Science, 2610. Springer-Verlag pp. 11-21. ISBN 3-540-00971-X.
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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.
|Item Type:||Conference or workshop item (UNSPECIFIED)|
|Additional information:||Conference Information: 6th European Conference on Genetic Programming (EuroGP 2003)|
|Uncontrolled keywords:||genetic programming, data mining, classification|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group|
|Depositing User:||Mark Wheadon|
|Date Deposited:||24 Nov 2008 18:01|
|Last Modified:||08 May 2012 13:49|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/13992 (The current URI for this page, for reference purposes)|
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