| 摘 要: 针对大数据时代背景下中小型超市面临的挑战及数据分析应用于中小型超市辅助决策的现状，提出了适 时调整货架位置及动态预测商品销售趋势的营销策略，建立了数据管理、分析、决策模型，综合应用数据挖掘算法 Apriori及Vague集求解该模型，在此基础上设计并实现了超市营销系统。利用中小型超市的实际销售数据实验，结果表 明该系统的应用不仅使得超市日常经营管理更加便捷、高效，其数据分析功能为管理者提供了决策支持，为超市带来约 8%的利润提升。 |
| 关键词: 数据挖掘；营销策略；关联规则 |
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中图分类号: TP399
文献标识码: A
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| The Application of Data Mining Technology in the Supermarket Marketing System |
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ZHANG Qing，GAO Guangyin，JIA Bo
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( Dept.of Computer Science and Technology, Taizhou Institute of Sci.&Tech., NUST., Taizhou 225300, China)
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| Abstract: In view of the challenge for the small and medium-sized supermarkets in the era of big data,and the present situation of the application of data analysis in small and medium-sized supermarket to auxiliary decision making,proposed the marketing strategy:timely adjust the shelf location and dynamically predict the tendency of the merchandise sales,established a model for data management,analysis,decision-making and used the data mining algorithms such as Apriori and Vague set to solve the model,on this basis,designed and implemented a supermarket marketing system.Then use the actual sales data of small and medium-sized supermarket for experiments,the results show that the application of this system not only makes the supermarket daily operation and management more convenient and efficient,its data analysis function provides decision support for manager,for the supermarket produce about 8% of the profits. |
| Keywords: data mining;marketing strategy;association rules |
