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Based on data mining research tax audit case selection

Author: ZhangXin
Tutor: ZhangJiaWan;LiPeng
School: Tianjin University
Course: Software Engineering
Keywords: Tax audit case selection Data Warehousing Data Mining Association rules Apriori algorithm
CLC: F812.42
Type: Master's thesis
Year: 2011
Downloads: 84
Quote: 0
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Abstract


The purpose of this paper is to use data mining technology to realize tax inspection, used for analyzing the inspection object, find suspicious enterprises, so as to improve the efficiency of tax inspection, reduces the audit cost. This paper mainly studies the following aspects. (1) the paper expounds the background of tax inspection, auditing theory at home and abroad is analyzed, and relevant theories of data mining technology, in addition to software engineering and data warehouse theory and expounded in detail. (2) in this paper, the tax inspection system used has carried on the demand analysis, system function, the audit data analysis, audit process analysis in detail in this paper. (3) in the data warehouse and inspection based on the study of the theoretical knowledge, used to build the tax data warehouse, to study the formation process of data warehouse. (4) finally, on the basis of building data warehouse, using data mining management rules Apriori algorithm for mining the association rules, find out the related indicators are most likely to tax evasion. Using data mining techniques to implement tax inspection system is used, make up for the defects of the artificial used to improve the efficiency of tax inspection.

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CLC: > Economic > Fiscal, monetary > Finance, the state's financial > China's financial > Financial income and expenditure > Tax
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