Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.

决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。

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With the thorough analysis on the algorithm of decision tree induction, we established a classification and prediction system based on C4.5 and accomplished the integration with the LMIS system.

通过对决策树算法的深入分析，我们围绕着C4.5决策树生成算法建立了一个分类预测系统并实现了与劳动力市场信息管理系统（LMIS）的集成。

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