Application And Research Of Data Mining Technology In The Tax System

The tax information construction has been developed rapidly in recent years. Thetax system in both urban and suburb areas of the whole nation have reached themanagement of information technology. Widely used as the collection and managementsystem, the tax department has accumulated a large amount of the tax business data, butmostly used for simple data management and day-to-day queries. The lack of deepanalysis and use resulted in the waste of data resources. Therefore, the study of datamining technology should be applied in tax system so as to provide the tax authoritieswith decisions and valuable information.Combining with the characteristics of tax system, this paper aims to analyze the taxinformation of taxpayers, to set up the basic function and system structure for tax datamining, and then to offer the methods and realization process of data mining technologyin typical business of tax system. To confirm the application fields of tax miningtechnology in tax system on the basis of thorough study. To deeply analyze the vastamounts of data in tax system and find out the rules and model, so as to help taxauthorities for decision-making, prevent the tax risks and greatly improve efficiency oftax authorities’ tax management and collection.Through the analysis on demands of tax system data and current datacharacteristics, this paper puts forward the key technology in the process of data mining,and adopts the DW and OLPA into existing data analyzing system, so as to provide thesupport for authorities’ decision-making. On the basis of cluster analysis in data mining,the model of clustering for taxpayer breakdown in taxpayer management is provided.According to the advantages and disadvantages of K-means algorithm, an improvedK-means algorithm is also described in this paper. Compared with the former K-meansalgorithm, the improved K-means algorithm varies in the center point of update method.The improved k-means algorithm, with the average of all members of the cluster as acluster center point, makes algorithm iterative convergence faster.At last, the paper detailedly describes the specific implementation approaches andnotes of data mining technology in tax system.