Demand Pattern of Air Cargo Customers by Mining Association Rules

机译：采矿协会规则需求空运客户的模式

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Airlines need a method to locate the useful information in the vast amount of data provided by the air cargo market. In order to improve the effectiveness and quality of the air cargo services, we should analyze air cargo customer group characteristics and customers' service demand. And also Association rules algorithm should connect with the air cargo business conditions so as to dig out useful demand pattern of air cargo customers. This thesis will use data mining algorithms of attribute-oriented induction and association rules to discover the demand pattern of air cargo customers.

机译：航空公司需要一种方法来定位在航空货运市场提供的大量数据中的有用信息。为了提高航空货运服务的效力和质量，我们应该分析空运客户组特征和客户的服务需求。同期规则算法应与航空货运业务条件连接，以挖掘空运客户的有用需求模式。本文将使用面向属性的归纳和关联规则的数据挖掘算法，以发现空运客户需求模式。

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《International institute of statistics and management engineering symposium》|2010年||共4页
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作者
LI Cheng; YAO Hongguang; WU Jing;
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正文语种
中图分类统计学;
关键词
demand pattern; association rule; airlines; air cargo;

机译：需求模式;协会规则;航空公司;航空货运;

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Demand Pattern of Air Cargo Customers by Mining Association Rules

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