Mining Investment Venture Rules from Insurance Data Based on Decision Tree

机译：基于决策树的保险数据挖掘投资风险规则

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Classification is a basic method of Data Mining. In this paper, we first introduce the basic concept of classifier and how to evaluate the precision of the classifier in this paper. Then we expatiate that how to use the Decision Tree Classifier to search the factors which will bring more venture at the guarantee slip, on the basis of the guarantee slip and compensation information database established by insurance agents. As a result, we gain some useful rules which will be useful to control investment venture.

机译：分类是数据挖掘的基本方法。在本文中，我们首先介绍了分类器的基本概念以及如何评估分类器的精度。然后阐述了如何利用决策树分类器，在保险代理建立的担保单和赔偿信息数据库的基础上，寻找能给担保单带来更多风险的因素。结果，我们获得了一些有用的规则，这些规则将对控制投资风险有用。

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来源
《International Conference on Computational Science - ICCA 2003 Pt.2 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia》|2003年|p.20-27|共8页
会议地点 Melbourne(AU) St. Petersburg(RU);Melbourne(AU) St. Petersburg(RU)
作者
Jinlan Tian; Suqin Zhang; Lin Zhu; Ben Li;
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作者单位

Department of Computer Science and Technology Tsinghua University., Beijing, 100084, PR China;

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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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Mining Investment Venture Rules from Insurance Data Based on Decision Tree

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