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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382141
