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The Application of Improved Decision Tree Algorithm in Data Mining of Employment Rate: Evidence from China

机译:改进决策树算法在雇用率数据挖掘中的应用:来自中国的证据

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In allusion to the limitations of ID3 algorithm which is the core algorithm of building decision tree, this paper presented the improved project which added attribute measure and introduced information gain ratio. The project trained the example set in the data mining of the students' employment rate and created the employment data mining model. The model was tested with the data of the students in school. The test proved that the improved decision tree algorithm has high reference value to the reallocation of the teaching resources.
机译:阐述了ID3算法的局限性,该算法是建筑决策树的核心算法,提出了添加属性测量和引入信息增益比的改进项目。该项目训练了学生的就业率的数据挖掘中规定的示例,并创建了就业数据挖掘模式。该模型与学校的学生数据进行了测试。该测试证明,改进的决策树算法对教学资源的重新分配具有高参考值。

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