Research on Electronic Commerce Information Management System based on Data Mining

被引:0
|
作者
Yang, Zheng-Hua [1 ,2 ]
Pan, Huanxue [1 ]
Li, Fukun [1 ]
Tang, Hai-Jun [1 ]
机构
[1] Beijing Forestry Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Jishou Univ, Dept Informat Sci & Engn, Jishou, Hunan, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 03期
关键词
data mining; electronic commerce; information management; operation model;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
With the development of network technology, electronic commerce is developing rapidly, and a large amount of business information is accumulated, containing a large number of business opportunities. The analysis of transaction data directly affects the development of electronic commerce. How to accurately analyze the business information data has become an urgent problem to be solved. Based on these, the electronic commerce information management system based on data mining was studied in this paper. Based on the brief introduction of relevant theories and technologies, the data mining, information management system, NET framework data mining technology and Web data mining technology were introduced in detail. The electronic commerce information management system was discussed. And some of the technical methods suitable for the improvement of e-commerce information management system were summarized. The results show that it is better to use NET framework and Web data mining technology in e-commerce system, which can accurately analyze the transaction data, thereby improving the efficiency of the analysis.
引用
收藏
页码:2627 / 2631
页数:5
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