摘要
当今国际市场竞争激烈,能否从海量的进出口贸易数据中发现有价值的关系和规律,对政府和企业进行决策起着重要的作用。提出使用数据挖掘领域中的多维关联规则技术,将数据立方体技术和Apriori算法相结合,从海量数据中得到关联规则。贸易决策者可根据产生的规则采取措施、制定对策。
With the intense competition in the international market, the discovery of valuable relationships and rules from the massive data of imports and exports trade plays an important role in decision-making for governments and enterprises. The multi-dimensional association rules technology in the field of data mining is presented and applied, and the data cube technology and the Apriori algorithm are integrated to gain the association rules from the massive data of imports and exports trade. According to the rules, trade policy makers can adopt measures and workout counter-measures.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第12期185-186,214,共3页
Computer Applications and Software
关键词
数据挖掘
多维关联规则
数据立方体
进出口贸易
Datamining Multi-dimensional association rule Data cube Imports and exports trade
