基于FP-growth算法的关联规则获取研究

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

分析税务数据之间的关系是税务决策系统的一个重要内容。本文利用数据挖掘技术,从税务系统数据库中挖掘出税负信息之间的关系,即可得到各种信息之间的关联程度,使用了改进的FP-growth算法的税负分析关联规则挖掘算法,可为税收工作提供指导,也可为税务各级领导分析和决策提供支持。

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.