Research on the Association Rule Based on the FP-growth Algorithm

Analysis of tax data is an important content on the Decision-making system。 It is intended to use the data mining technology to mine the association rules of the tax burden data from the database and induce the incidence degree between different data. For this reason an algorithm of mining the association rules of the tax burden data based on the improvement of the FP -growth method is used. So it can guide the tax work and help leaders to analyze and decide.