The inductive learning algorithms are very attractive methods for generating hierarchical classifiers. They generate the hypothesis of the target concept on the basis of the set of labeled examples. This paper presents some of the rule generation methods, their usefulness for the rule-base classifier and their quality of classification for the medical decision problem.
Published in:
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
(Volume:4
)
Date of Conference: 2001