决策树算法在纳税信用等级评定中的应用研究

纳税信用等级评定的实现是需要对大量税收数据进行分析和判定的结果,决策树是进行数据挖掘和分类的常用工具,其中以C4.5算法最为流行。如何应用数据挖掘技术改变纳税信用等级手工评定的现状是当前税务系统税收信息化工作难点之一。文章主要讨论如何应用C4.5算法构造纳税信用等级评定决策树,通过对纳税人涉税数据的采集、预处理、属性选择、决策树生成和剪枝等一系列过程最终生成纳税信用等级评定决策树,并根据生成的决策树实现对纳税人纳税信用等级的判决。

Application Research of Decision Tree Algorithm on Evaluation Ratepaying Credit Grade

The implement of evaluation ratepaying credit grade needs the result of analyzing and judging lots of taxation data, and decision tree is the one of the common tools for data mining and classification, especially C4.5,is a kind of classification algorithm. How to apply data mining technology to change the phenomenon, that evaluation ratepaying credit grade by manual operation, is one of the difficult points of today's tax system taxation informatization work. The main topic of this treatise is discussing ho...