| In recent years,with the rapid economic globalization and the rapid development of information technology,the nature of the work and the database system has undergone a complete change,and thus how to perform a scientific and standardized assessment of corporate income tax with the help of innovative technologies and innovation management tools has become a new research topic in new era,among which improving the quality and the efficiency of tax assessment is the most crucial and difficult part of the tax reform.This thesis studied the special requirements of the tax warning assessment system of the IRS,and established a set of unique tax index system according to all the current scheme of tax index by conducting a comprehensive statistics and analysis on every tax index of enterprises with regard to the characteristics of the tax.Besides,we also studied the architecture of the network-based information management system and the critical technologies of current information system development.And based upon all these studies,we adopt J2EE as well as data mining and analyzing technology to find out the tax risk of taxpayers and carry an early warning and assessment on their risky tax behaviors based on a series of risk estimation,and finally exhibit the results of the data analysis in the form of statistics and statements.The system employed a new tax warning indicator,which simplifies the process of complex assessment of taxpayer and taxpayers,to reduce the work repetition rate and optimize the resource utilization,and hence improved the management efficiency as a result.The test results show that the system achieved the expected result.The system not only realized the tax warning management of the IRS,but also optimized the working flow of the supervisory system.With the help of this system,tax staff can be relieved from the heavy workload,and the quality and the efficiency of the tax warning management is also improve. |
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