树的简化是决策树归纳学习中关键的部分。
Simplifying trees is the key part of decision tree induction learning.
论文提出了一种健壮有效的决策树改进模型R - C4.5及其简化版本。
In this paper, a robust and effective decision tree improved model R-C4.5 and its simplified version are introduced.
论文是决策树简化方法的一个综述，包括预剪枝、后剪枝和其它方法。
This paper is a brief survey of several methods for decision tree simplification, including the pre-pruning, post-pruning and the other methods.
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