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Taxpayers Fraudulent Behavior Modeling The Use of Datamining in Fiscal Fraud Detecting Moroccan Case

机译:纳税人欺诈行为建模数据挖掘在摩洛哥欺诈案件中的应用

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The fraudulent behavior of taxpayers impacts negatively the resources available to finance public services. It creates distortions of competition and inequality, harming honest taxpayers. Such behavior requires the government intervention to bring order and establish a fiscal justice. This study emphasizes the determination of the interactions linking taxpayers with tax authorities. We try to see how fiscal audit can influence taxpayers’ fraudulent behavior. First of all, we present a theoretical study of a model pre established by other authors. We have released some conditions of this model and we have introduced a new parameter reflecting the efficiency of tax control; we found that the efficiency of a fiscal control have an important effect on these interactions. Basing on the fact that the detection of fraudulent taxpayers is the most difficult step in fiscal control, We established a new approach using DATA MINING process in order to improve fiscal control efficiency. We found results that reflect fairly the conduct of taxpayers that we have tested based on actual statistics. The results are reliable.
机译:纳税人的欺诈行为会对可用于公共服务的资金产生负面影响。它扭曲了竞争和不平等,损害了诚实的纳税人。这种行为需要政府干预才能下达秩序并建立财政正义。本研究强调确定纳税人与税务机关之间的互动关系。我们试图看看财政审计如何影响纳税人的欺诈行为。首先,我们介绍由其他作者预先建立的模型的理论研究。我们已经发布了该模型的一些条件,并引入了反映税收控制效率的新参数。我们发现,财务控制的效率对这些相互作用具有重要影响。基于侦查欺诈性纳税人是财政控制中最困难的事实,我们建立了一种使用数据挖掘过程的新方法,以提高财政控制效率。我们发现的结果完全反映了我们根据实际统计数据测试的纳税人的行为。结果是可靠的。

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