Research And Design Of Tax Assessment System Based On Data Mining

With the fast development of tax information technology, the tax authorities have accumulated a lot of taxation management data. Nowadays, they pay more and more attention to the full use of these data in tax management and service. In 2005, JiangSu Local Taxation Bureau introduced the tax assessment into computer management, in which the index system is the key of the success. But now the tax assessment index system is still manually established and maintained, which affects the rationality and justice of the tax assessment index system. In this kind of system, the screen-out object is so lack of persuasion as to affect the assessment efficiency and quality. Therefore according to the real situation, this article introduced an intelligent screening system of the tax assessment with the data mining technology, which can avoid manual interference, reduce workload of the staff and promote the quality and efficiency of tax assessment.In order to establish an intelligent screening system of tax assessment, this article studies the data mining technology and explains its application in tax assessment. Firstly this article studied the application of data mining technology in other fields and other tax departments. Through learning the process mold and the technique mold of data mining, it analyzed the application and situation of tax assessment system and chose the right mean of data mining—sorting. Secondly after studying several arithmetic of sorting and the features of tax data and index, it decided to use SLIQ of decision tree to realize the operation. Lastly according to the process mold of data mining, it designed the screening system of tax assessment based on SLIQ, realized the automatic establishment and maintenance of the tax assessment index system and promoted the rationality and justice of the assessment object.Through the application in Suzhou Local Tax Bureau, the index screening system of tax assessment has solved the problems of index screening, security value decision, index and security value maintenance and the lack of scientific screening of assessment object with computer intelligence instead of manual operation.