Application Of Data Mining Technology In Online Sales System

The "Internet plus" action plan has been put forward since 2015,represented by cloud computing,Internet of things and big data,characterized by crossborder integration,reshaping structure,open ecology,etc.,seeking information revolution and globalization,breaking the original geographical structure and upgrading traditional industries.In order to make better use of the Internet platform,more and more enterprises choose to use the network as their operating platform to broaden their own sales channels.Based on Zhejiang Youjin Network Technology Co.,Ltd.,this paper analyzes the actual needs of enterprises and combines the characteristics of enterprises as well as on the analysis of the actual needs of enterprises,combined with the characteristics of enterprises themselves and on the basis of traditional retail system.The specific tasks are as follows:(1)By Apriori algorithm,the sales data of the company's retail department are analyzed and studied,and the results are given and applied to the online sales system.(2)Through the application of clustering algorithm in the sales system,the sales data are summarized and analyzed and predicted,which provides the basis for further optimization of the system,and to a certain extent improves the efficiency of small and medium-sized enterprises in processing data.(3)Based on the Anconda environment,the design and development of the online sales system,and the implementation of the functional modules of the online sales system are explained.At the same time,the database used in this paper is designed.Above all,applying the Apriori association rules and frequency analysis to the online sales system will greatly improve the optimization efficiency of the system;It is more scientific to apply cluster research and decision tree dimension importance research to object division in the system than artificial subjective classification.Because clustering is based on object browsing and entry and exit records,the result of category division will effectively improve the rationality of object display and division.