Faten Kharbat
Knowledge discovery from medical data: an empirical study with XCS
Kharbat, Faten; Odeh, Mohammed; Bull, Larry
Authors
Mohammed Odeh Mohammed.Odeh@uwe.ac.uk
Associate Professor in Software Engineering
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Contributors
Lawrence Bull Larry.Bull@uwe.ac.uk
Editor
Ester Bernado-Mansilla
Editor
John Holmes
Editor
Abstract
In this chapter we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowledge discovery than with C4.5.
Publication Date | Jan 1, 2008 |
---|---|
Peer Reviewed | Peer Reviewed |
Series Title | Studies in Computational Intelligence |
Series Number | 125 |
Book Title | Learning Classifier Systems in Data Mining |
ISBN | 9783540789789 |
Keywords | LCS, data mining, medical data sets |
Public URL | https://uwe-repository.worktribe.com/output/1019721 |
Publisher URL | http://www.springer.com/engineering/mathematical/book/978-3-540-78978-9 |
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