Knowledge discovery from medical data: an empirical study with XCS

Kharbat, F. , Odeh, M. and Bull, L. (2008) Knowledge discovery from medical data: an empirical study with XCS. In: Bull, L. , Bernado-Mansilla, E. and Holmes, J. , eds. (2008) Learning Classifier Systems in Data Mining. Springer. ISBN 9783540789789

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Publisher's URL: http://www.springer.com/engineering/mathematical/b...

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.

Item Type:Book Section
Uncontrolled Keywords:LCS, data mining, medical data sets
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology > Centre for Complex Co-operative Systems
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Artificial Intelligence Group
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Centre for Complex Co-operative Systems
ID Code:13256
Deposited By: Dr M. Odeh
Deposited On:05 Nov 2010 14:56
Last Modified:14 May 2013 16:16

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