关联规则数据挖掘算法及其在智能物流中的应用分析

关联规则数据挖掘算法是近年国内外学者关注的一个课题。国内外学者为了提高挖掘的效率对其做了不断的改进研究。在关联规则数据挖掘算法的原理分析的基础上,对国内外该算法的研究现状做了认真分析,并分析了其在商业、医疗、保险、通讯、工业、农业等领域的典型应用,提出将不同的算法应用于实际挖掘工作中是未来进一步深化研究的方向。结合当前物流企业数据分析现状与需求,分析了关联规则数据挖掘在智能物流中的具体应用,为物流企业改善物流营销服务、优化物流路径等提供决策支持。

Analysis of Association Rule Mining Algorithm and Its Application in Intelligent Logistics

The association rules mining is one of problems attracting scholars of the world in recent years. In order to improve the mining efficiency, scholars of the world continuously study. This paper introduces the principle of association rules mining algorithm and analyzes the domestic and foreign research status of the algorithm, and analyzes its typical application in commercial, medical, insurance, communications, industry, agriculture and other fields, the algorithm is applied in different actual mining work is a further study of the future direction; combined with the analysis of current situation and demands of logistics enterprise data, analysis of association rules of data mining application in intelligent logistics, provide decision support for optimizing logistics path to improve logistics marketing service of logistics enterprises.