Design and Implementation of Tax Collection and Management Index Early Warning System Based on Data Mining

Abstract

With the continuous improvement of tax information level of tax authorities, tax authorities have formed a large number of tax business management data in their daily business. However, at present, only a simple historical query is provided for these historical data, which is far from the expected advanced applications such as analysis and prediction and decision support. This paper designs and implements a set of early warning system of tax collection and management indicators by using database technology, constructs indicators according to taxpayers' declaration data, and uses data warehouse technology, attribute-oriented summary method and association rule algorithm for data mining to provide data support for tax early warning. Setting up the corresponding early warning value system can reduce the risk of tax evasion, improve the quality of tax monitoring, and then improve the efficiency of law enforcement and management level.