Application Research Of Association Analysis In E-commerce

With the popularity of computer applications,information technology has developed rapidly and is gradually being widely used in various industries.The benefits brought by the development of e-commerce to enterprises,society and individuals are all-round.It brings human beings into the information society.However,while e-commerce accelerates the process of social informatization,it also further aggravates the "data explosion" problem.How to get useful information from these massive data,how to actively understand customer preferences and develop their purchasing potential,and quickly find the corresponding advantage products to help decision-making strategies to help decision-making strategies,plans to support These business activities have become a difficult problem for enterprises.Data mining technology can collect,process,and analyze these raw data well,and draw conclusions to make e-commerce more stable and high-speed development.This paper first introduces the concept of data mining and the current development status.A brief introduction to the process of data mining,according to the status quo and needs to define problems,collect information,because the amount of data is large,and the quality is uneven,you need to pre-process the data,and then use the processed data to mine,and finally draw conclusions.Data mining methods,including classification,valuation,prediction,association rules,clustering.Then combined with e-commerce,analyzed the application of data mining in e-commerce.This paper focuses on the association analysis in data mining methods,and expounds the Apriori algorithm commonly used in association analysis methods.However,the algorithm has some obvious shortcomings,such as repeated scan data will increase the load of the entire data mining process,and then propose an improved algorithm for Apriori algorithm.A weighted heavy Apriori improved algorithm is proposed considering the multi-dimensional characteristics of purchasing behavior in e-commerce.The algorithm is applied to the actual sales activities to better guide the merchants to sell the goods,and improve the click rate and bag rate of the products.