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Book Chapter
Knowledge Discovery from Medical Data: An Empirical Study with XCS
Book Series
Studies in Computational Intelligence
Publisher
Springer Berlin / Heidelberg
ISSN
1860-949X (Print) 1860-9503 (Online)
Volume
Volume 125/2008
Book
Learning Classifier Systems in Data Mining
DOI
10.1007/978-3-540-78979-6
Copyright
2008
ISBN
978-3-540-78978-9
DOI
10.1007/978-3-540-78979-6_5
Pages
93-121
Subject Collection
Engineering
SpringerLink Date
Tuesday, July 01, 2008
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Knowledge Discovery from Medical Data: An Empirical Study with XCS
Faten Kharbat
5, 6
, Mohammed Odeh
5
and Larry Bull
5
(5)
School of Computer Science, University of the West of England, Bristol, BS16 1QY, UK
(6)
Computing Department, Zarqa Private University, Zarqa, Jordan
Summary
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.
Faten
Kharbat
Email:
faten.west@gmail.com
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