作　　者： ; ; ;

机构地区： 福建师范大学软件学院

出　　处： 《郑州大学学报（理学版）》 2006年第4期50-55,共6页

摘　　要： 定制优良的产品价格是激烈竞争的市场中一个关键,基于负关联规则挖掘的技术提出一种新的定价方法,它可通过人力参与和完全自动两种方式进行,该方法具有易操作与易扩展的优点.实验表明该方法是有效的. Well-determining product price has been a crucial problem in marketing competition. A novel pricing method based on negative association rules identified from past data is proposed, which is easily-manipulated and well-extended for end users. In our approach, an optimal price can be generated with two ahernative strategies; human-assisted pricing strategy and automatic pricing strategy. In addition, an efficient algorithm for generating short negative association rules is devised. The results show that the approach is promising and efficient.

关 键 词： 负关联规则 数据挖掘 价格调整

领　　域： [自动化与计算机技术] [自动化与计算机技术]