摘要
本文在介绍关联规则挖掘技术的基础上,结合实例对关联规则的应用进行了详细论述,实证研究表明,在物流企业信息管理中应用关联规则挖掘技术进行分析,不仅在技术上是可行的,而且有助于第三方物流企业根据挖掘发现的内在关联规律及时进行营销分析并作出科学决策。
Based on the introduction of data mining technology and Apriori algorithm, the paper provides a detailed review of the application of Association Rule according to the empirical analysis. Through demonstrations, it is proved that putting Associatioh Rule Mining technology into the 3PL （short for Third-party Logistics Enterprise） information management is not only feasible in terms of technology, but also helpful for these enterprises to conduct a marketing analysis and make a scientific decision in time according to the intrinsic association regulations founded through mining.
出处
《中国流通经济》
CSSCI
北大核心
2010年第3期60-62,共3页
China Business and Market
基金
国家高技术研究发展计划(863计划)项目"装备制造业虚拟库存管理及协同物流配送技术研究"(批准号:2007AA04Z105)
上海市经委引进技术的吸收与创新年度计划项目"综合型物流企业信息系统中现代数据处理技术的应用示范工程"(批准号:07XI-058)阶段性研究成果之一
关键词
物流信息
关联规则
第三方物流企业
营销决策
logistics information
association rule
the third-party logistics enterprises
marketing decision-making
