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基于关联规则分析的产品销售推荐的应用
引用本文:李洪燕,万新.基于关联规则分析的产品销售推荐的应用[J].四川理工学院学报(自然科学版),2013,26(2):36-38.
作者姓名:李洪燕  万新
作者单位:四川理工学院自动化与电子信息工程学院,四川自贡,643000
摘    要:阐述了关联规则算法的基本原理,并利用事务数据库中的销售数据和SQL Server 2008 DataMining Add-Ins for Microsoft office 2007工具挖掘顾客购买的商品之间各种有趣联系,帮助商家制定营销策略,最终向每个顾客提供一组正确的推荐信息,从而改善客户的购物体验,增加总的销售额。

关 键 词:Microsoft关联规则算法  销售推荐  客户细分

Product Selling and Recommendation Application Based on the Analysis of the Association Rules
LI Hong-yan , WAN Xin.Product Selling and Recommendation Application Based on the Analysis of the Association Rules[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2013,26(2):36-38.
Authors:LI Hong-yan  WAN Xin
Institution:(School of Automation and Electronic Information,Sichuan University of Science & Engineering,Zigong 643000,China)
Abstract:The basic principle of Microsoft Association rules algorithm is illustrated.Based on it,various fascinating relations among purchased goods are tapped by taking advantage of marketing data in the affairs database and SQL Server 2008 Data Mining Add-Ins for Microsoft office 2007 tools,which can help traders formulate marketing strategies and provide rational recommendation information for every customer.Thorefore,it can improve the shopping experiences and increase total sales.
Keywords:Microsoft Association rules algorithm  selling recommendation  customer subdivision
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