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基于关联规则的数据挖掘在集装箱追踪系统中的应用
引用本文:陆璐.基于关联规则的数据挖掘在集装箱追踪系统中的应用[J].铁路计算机应用,2008,17(8):25-28.
作者姓名:陆璐
作者单位:郑州铁路职业技术学院,信息工程系,郑州,450052
摘    要:针对关联规则数据挖掘中的Apriori算法进行研究,将Apriori算法应用于集装箱追踪系统中,找出客户发货去向之间,以及发货种类与发货去向之间的关联关系.帮助集装箱公司快速建立市场营销客户群,为其开展物流市场营销,提供科学,低风险的决策依据.

关 键 词:数据挖掘    关联规则    Apriori算法    集装箱
收稿时间:2008-08-15

Application of data mining based on association rules to Container Tracing System
LU Lu.Application of data mining based on association rules to Container Tracing System[J].Railway Computer Application,2008,17(8):25-28.
Authors:LU Lu
Institution:LU Lu (Zhengzhou Railway Vocational&Technical College of Information Engineering Department,Zhengzhou 450052,China)
Abstract:The Association rules for data mining in Apriori algorithm was studied by author. The Apriori algorithm has been used to the Container Tracing Management System by the container company. The main transportation direction of each kind of goods as well as the relation of the goods type and the transportation direction were found by us. It was rapidly established customers of Marketing for container companies. The container company had been provided a scientific, low-risk basis for decision making.
Keywords:data mining  association rules  Apriori algorithm  container  
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