Application Of Association Rules Algorithm Based On R In Shopping Basket Analysis

With the continuous development of computer science and technology,human life has become more and more intelligent,mankind is entering a new era of information technology.In today's information technology,data acquisition has become a relatively simple matter.The reason is that the application of digital technology;in addition,the popularity of the Internet application and the increasing number of Internet users,which brought huge amounts of information to humans,as well as research and exploration of human and provides convenience.Data mining from data mining is valuable,people do not know the information,an important field of association rule mining algorithm is its research and exploration.This paper introduces some basic concepts of association rules algorithm,and discussed its application in the "shopping basket analysis" in the study.Data mining and analysis of the relationship in the supermarket shopping basket "in the domestic and foreign researchers,and a series of problems such as how to take marketing strategies,how to sell the product and how to display products have done a lot of research in the supermarket.In the above background.The purpose of this paper is to conduct in-depth research on association rules algorithm and its implementation in the "shopping basket analysis",as well as the analysis of the results of how to apply to the actual decision.This paper mainly discusses the following:(1)This paper introduces the background of the data mining technology and the present situation of the domestic and foreign,and discusses the application field of the extensive,benefit,and puts forward the function of the technology in the supermarket(2)Next,the paper introduces some related concepts of data mining,and discusses the task of data mining in theory.On this basis,it introduces the general process of data mining(3)Followed by a comprehensive analysis of the association rules algorithm,especially the deep analysis and Research on the classic Apirori algorithm,and the classical algorithm for example analysis(4)Research and application of association rules.That is the real problem of association rules algorithm and the "shopping basket analysis" combination.Firstly,the basic theory and method of "shopping basket analysis" were introduced,to generate frequent itemsets by using the R software,and the results of association rules and the use of visualization.Each link between commodity,to realize the optimization of putting order goods.The process and results of analysis are described and explained,and thus more arch theory support for the supermarket when making decisions.