Research on International Trade Decision Support System Based on Big Data

被引:0
作者
Ma, Xuejun [1 ]
机构
[1] Hankuk Univ Foreign Studies, Grad Sch Int & Area Studies, Int Trade, Seoul 02450, South Korea
来源
2024 9TH INTERNATIONAL CONFERENCE ON ELECTRONIC TECHNOLOGY AND INFORMATION SCIENCE, ICETIS 2024 | 2024年
关键词
decision support system; data warehouse; data mining; online analytical processing;
D O I
10.1109/ICETIS61828.2024.10593730
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since China's accession to the WTO, import and export trade has developed rapidly. With the development of information technology construction, enterprises have accumulated a large amount of business data. This article discusses how to use this data for fast and accurate support decision-making. On the basis of research on data warehouse technology and decision support systems, a decision support system for import and export trade based on data warehouse technology is proposed and implemented. The content includes system architecture, data warehouse model, online analytical processing strategy, and data mining technology. The key technologies of the system are also elaborated. This system realizes the conversion of data held by enterprises into information, and then into knowledge, in order to improve the decision-making ability, efficiency, and accuracy of enterprises. The experiment shows that the system can effectively process and analyze trade data, mine useful information from massive data, and reliably and efficiently store and analyze trade data, helping enterprises formulate marketing plans.
引用
收藏
页码:711 / 715
页数:5
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