多维关联规则技术在进出口贸易分析中的应用  

APPLICATION OF MULTI-DIMENSIONAL ASSOCIATION RULES TECHNOLOGY TO ANALYSIS OF IMPORTS AND EXPORTS TRADE

作　　者：徐江勇[1] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072

出　　处：《计算机应用与软件》2008年第12期185-186,214,共3页Computer Applications and Software

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.

关 键 词：数据挖掘 多维关联规则 数据立方体 进出口贸易 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F752.6[自动化与计算机技术—计算机科学与技术]