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Based On The Taxation System's Data Mining

Posted on:2009-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:S Y ZhouFull Text:PDF
GTID:2178360245995017Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Tax authorities is the people's livelihood, the management of an important institution, and it is closely related to the development of enterprises, every enterprise in the business tax system will be left in the database record. So the tax system in the database have accumulated large amounts of corporate data, and these data are recorded in the enterprise management, earnings, tax situations, if correctly excavation and analysis of these data implied the knowledge, we will be able to better provide services or support to be able to better decision-making current policies. Therefore, data mining in China's tax revenue in the study has important value.However, the current tax system in the current situation is that many systems, data isolation, want a comprehensive analysis of a business or certain types of business it is very difficult, dynamic monitoring of enterprise development is unrealistic, resulting in the current tax system in one message island.In view of this, this paper focuses on the country's tax system and how to use data mining techniques to enhance its analytical decision-making skills. This paper does not data mining theory and modeling methods for excessive elaboration of the data warehouse has not done building on the fine, but to focus on data mining model and the choice of design, hope that this study can to strengthen and improving data mining technology in China's taxation system of play that role.
Keywords/Search Tags:Tax, early warning analysis, data mining, OLAM
PDF Full Text Request
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