DocumentCode
2340111
Title
An experimental study on relationship between pruning algorithms and selection of parameters in fuzzy decision tree generation
Author
You, Zi-Ying ; Ji, Hong-Yan
Author_Institution
Machine Learning Center, Hebei Univ., Baoding, China
Volume
4
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2090
Abstract
It is important to study the relationship between pruning algorithms and the selection of parameters in fuzzy decision tree generation for controlling the tree size. This paper selects a pruning algorithm and a method of fuzzy decision tree generation to experimentally show the relationship for some existing databases. It aims to give some guidelines for how to select an appropriate parametric value in fuzzy decision tree generation. When a suitable parametric value is selected, the pruning for fuzzy decision tree generation seems to be unnecessary.
Keywords
decision trees; fuzzy set theory; learning by example; fuzzy decision tree generation; parameter selection; pruning algorithms; Classification tree analysis; Computer science; Decision trees; Electronic mail; Fuzzy neural networks; Guidelines; Machine learning; Machine learning algorithms; Mathematics; Physics;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382141
Filename
1382141
Link To Document