Skip to main content

Research Repository

Advanced Search

Knowledge discovery from medical data: an empirical study with XCS

Kharbat, Faten; Odeh, Mohammed; Bull, Larry

Authors

Faten Kharbat

Profile image of Mohammed Odeh

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

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