基于数据挖掘的关联规则研究

Research on Association Rules Based on Data Mining

随着信息化的发展,人类进入数据爆炸时代,从海量数据中查找到相关联的知识,并对其进行处理,从而满足用户需求已成为一种趋势。文章研究了基于数据挖掘的关联规则,以此来寻找数据之间的潜在关系。通过分析海量数据中的有价值数据,将其转换为可供处理的数据格式;通过改进经典的Apriori算法来实现需求数据的预测和决策,应用结果也表明该算法能够获得较好的研究效果。

With the development of information technology,human being are entering the era of data explosion.It is a trend to find the related knowledge from the mass data,and to deal with them so as to meet the needs of the users.This paper focuses on the research of association rules based on data mining,in order to find the potential relationship between data.By analyzing the valuable data in the mass data,it is converted into a data format for processing.By improving the classical Apriori algorithm the prediction and decision of demand data are achieved.The application results also show that better research effect has been achieved by the algorithm.