| 数据预处理在保险理赔预测中的应用 |
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| 引用本文： | 张健,冯建华. 数据预处理在保险理赔预测中的应用[J]. 计算机工程与设计, 2005, 26(9): 2537-2539,2564 |
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| 作者姓名： | 张健 冯建华 |
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| 作者单位： | 1. 航天信息股份有限公司,研发三部,北京,100081
2. 清华大学,计算机系,北京,100084 |
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| 摘 要： | 数据挖掘技术在中国的应用尚不普及,一个重要的原因就是由于业务数据的不规范.通过使用数据预处理技术,可以使业务数据更加规范,保证各种数据挖掘算法取得良好的效果.以保险理赔预测为应用背景,介绍了如何结合专业知识进行数据清洗的方法,同时还提出了一种压缩大数据集的数据归约算法.
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| 关 键 词： | 数据预处理 数据挖掘 保险理赔预测 数据清洗 数据归约 |
| 文章编号： | 1000-7024（2005）09-2537-03 |
| 收稿时间： | 2005-03-01 |
| 修稿时间： | 2005-03-01 |
Application of data pretreatment in claim fraud detection |
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| ZHANG Jian,FENG Jian-hua. Application of data pretreatment in claim fraud detection[J]. Computer Engineering and Design, 2005, 26(9): 2537-2539,2564 |
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| Authors: | ZHANG Jian FENG Jian-hua |
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| Affiliation: | 1. Department of Reseach and Development, Aerospace Information Co Ltd, Beijing, 100081 China; 2. Department of Computer and Science, Tsinghua University, Beijing 100084, China |
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| Abstract: | One of reasons which Data Mining is not used widely in China is of the irregular data. The Data Pretreatment technology can make the data more regular, and make all Data Mining Algorithms more effective. The background of the research is the claim fraud detection. A method of data cleaning with professional knowledge will be talked about. A data reduction method for large database will be put forward too. It is proved that the method works well in reality. |
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| Keywords: | data pretreatment data mining claim fraud detection data cleaning data reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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