| 关联规则挖掘在税务系统中的应用研究 |
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| 引用本文： | 苏立明,马宝辉,周连喆. 关联规则挖掘在税务系统中的应用研究[J]. 科技信息, 2009, 0(31): 96-97 |
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| 作者姓名： | 苏立明 马宝辉 周连喆 |
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| 作者单位： | 长春工业大学计算机科学与工程学院07研03班,吉林长春130012 |
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| 摘 要： | 通过对关联规则经典挖掘算法Apriori算法的分析;并在Apriori算法基础上,采用一种基于布尔矩阵的行向量寻找频繁项集的关联规则挖掘算法,将该算法应用于税务系统中,分析欠税纳税人的欠税行为等情况,并判断其是否符合业务规则。
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| 关 键 词： | 关联规则 数据挖掘 税务系统 |
The Application and Search of Association Rules Miningin the Taxation Management System |
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| Abstract: | By analyzing the classic algorithm of association rules mining——Apriori;based upon Apriori algorithm,to use the row vectors of Boolean matrix to find out frequent itemsets is presented in this paper.It is applied to taxation management system,analyze quota taxplayer of Duty of business tax,city building,education expends education of fund of add,and directly determine in according with the corresponding rules that these rules are whether complies with the business rules. |
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| Keywords: | Association Rule Data Mining Taxation management System |
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