介绍了归纳学习中的决策树学习算法如id3、C4.5和特征子集选择问题。

And it introduces some algorithms of decision tree learning such as ID3, C4.5 and feature subset selection of Inductive learning.

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特征子集选择问题是机器学习的重要问题。而最优特征子集的选择是NP困难问题，因此需要启发式搜索指导求解。

The feature subset selection is an important problem in machine learning, but the optimal feature subset selection is proves to be a NP hard one.

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