An Application Of Data Mining Based On Clustering In Tax Specialization Management

After the cloud computing,big data has become one of the most popular concepts in the field of information technology.According to the report of China Internet Data Center,the total global data in 2012 is 2.7ZB(1ZB = 106 PB,1PB = 106GB),and the Internet and mobile Internet,all kinds of personal shopping,location and other aspects of the relevant data is Massive.So how to use these data,has become increasingly prominent problem.There is also a lack of deep involvement in the tax-related data.As the "Golden Tax III" on the line,the tax department of the tax-related data from the provincial concentration into a large concentration of national data,the tax department of the database there are massive external and internal data.But the tax department of these massive data analysis and processing limitations in the summary,query,comparison and other basic applications,can not dig deep data on the information.This article tries to introduce the data mining technology in the tax department's work,and the tax department's decision-making is more scientific and improve the quality of tax services,and the center of the research is put into the application of cluster analysis in tax specialty management.Tax source specialization management is the basis of tax management work,control a comprehensive tax source information,the implementation of rigorous professional management methods,to fully guarantee the tax department of tax revenue.Clustering analysis is a kind of data mining technology,which is widely used in commercial,medical,biological and other industries.The clustering analysis can be used to improve the efficiency of the tax source classification,and it can make the tax personnel able to scientifically develop the tax source management strategy,improve the efficiency of the tax source specialization management.This article summarizes the basis of domestic and foreign research and practice,combing the professional management of tax sources,big data,data mining-related knowledge and technology clustering algorithm,and then the knowledge of both together,and made of poly Class algorithm in the application of tax source specialization opportunities and challenges,research and design of the clustering algorithm in the tax source of specialized management application model.Then,a standard model was established by using SPSS Clementine20.0software and according to the data mining process.The K-means clustering method was used to analyze the 196 companies in the daily consumption industry under WIND classification,and the clustering Applicability of Algorithm in Specialized Management of Tax Source.