决策树简化是决策树学习算法中的一个重要分支。

Decision tree simplification is a significant branch in the study of decision-tree learning algorithms.

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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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还可以再进一步简化；注意一下：它是如何实现只简化树的最底层的？

Further simplification is possible; notice how this only simplifies at the bottom levels of the tree?

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