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.
| The full text of this publication is not available from this repository. (Contact us about this Publication) | |
| Official URL http://www.cs.kent.ac.uk/pubs/2003/1729 |
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.
| 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) |
- Depositors only (login required):
