The application of data mining in the analysis of high underpricing rate of IPO

机译：数据挖掘在IPO高差价率分析中的应用

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In order to explain the reason of the high underpricing rate of IPO and to judge whether there exists IPO underpricing, combined with China's specific policy system, this paper classified the IPO first-day underpricing or discount and constructed a classifier by using the decision tree modeling under the multiple influence factors. The numbers listed in this article refer to the data of initial public offerings from September 2006 to December 2014 with a sample. On the basis of the conclusion, this paper suggested to strengthen investors reasoningly investing.

机译：为了解释IPO的高度差额率的高度和判断是否存在IPO差价，结合中国的特定政策制度，本文通过使用决策树建模分类了IPO的第一天估价和折扣并构建了分类器在多重影响因素下。本文中列出的数字是指2006年9月至2014年12月的初始公开产品的数据，其中包含了一个样本。在结论的基础上，本文建议加强投资者的推理投资。

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《International Conference on Logistics, Informatics and Service Sciences》|2016年|1 v.|共5页
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作者
Ting Han;
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正文语种
中图分类计算技术、计算机技术;
关键词
Decision trees; Data models; Analytical models; Companies; Stock markets; Predictive models; Pricing;

机译：决策树;数据模型;分析模型;公司;股票市场;预测模型;定价;

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The application of data mining in the analysis of high underpricing rate of IPO

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