决策树在人力资源管理中的应用研究

传统的人力资源评价方法过分依赖于人的主观判断与经验，为了克服这个缺陷，文中提出了一种基于数据挖掘的信息论的综合评价方法，该方法中利用决策树、分类器概念以及相关性分析，先对初选的数据进行筛选．再进行建树，然后进行修剪树，进而得出了综合评价模型并同时给出了相应的算法。最后通过算例说明了方法的有效可行。

A Research of Human Resource Value Based on Decision Tree

Traditional evaluating methods of human resource are simple and direct, but they greatly depend on people's subjective judgement and experience. In order to overcome the default, this paper puts forward the method of data mining, which takes advantage of the information theory, the concept of information entropy and relative analysis to filter the original datas,then to build and prune tree. Synthetically valuation model and corresponding arithmetic are summed up. Finally the sample illuminates the validity and feasibility of this method.