决策树归纳技术在保险数据预处理中的应用

Shuming Wei, Daipeng Gao, S. Luo
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引用次数: 0

摘要

本文采用确定树归纳技术,删除不相关的属性(或维度),减少数据量;最初用于分类的决策树算法用于降维,由于优化了删除属性时间的算法度量计算,可以达到更高的准确率。最后以保险为例说明该方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Decision Tree Induction Technology in Insurance Data Pretreatment
This paper uses the determination tree induction technology to delete the irrelevant attributes (or dimensions) and reduce the data quantity; The decision tree algorithm which at first is used in classification is used to dimensionality reduction, might achieve a higher accuracy, because it optimizes the algorithm measure computation in deletion attribute time. Finally uses the insurance example to explain the application of this method.
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