基于Apriori算法的生鲜蔬菜购买的关联分析  

Association Analysis of Shopping Clustering Based on Apriori Algorithm

作　　者：魏子航 WEI Zihang(Jiangsu Normal University Jingwen College,Xuzhou Jiangsu 221116)

机构地区：[1]江苏师范大学敬文书院,江苏徐州221116

出　　处：《软件》2024年第1期131-133,共3页Software

摘　　要：为满足当下生鲜超市日常补货和定价需求,基于某商超经销的6个蔬菜品类从2020年7月1日至2023年6月30日的销售流水明细与批发价格的相关数据,采用Apriori算法和K-means++算法研究各生鲜蔬菜的销售时间分布规律及消费者购买各生鲜蔬菜的相关关系,进而从蔬菜种类销售购买关联度及相关性角度为生鲜超市的策略制定提供新的视角。In order to meet the daily replenishment and pricing needs of fresh supermarkets,based on the sales flow details and wholesale prices of six vegetable categories distributed by a supermarket from July 1,2020 to June 30,2023,the Apriori algorithm and K-means++algorithm were used to study the sales time distribution patterns of various fresh vegetables and the correlation between consumer purchases of various fresh vegetables,Furthermore,providing a new perspective for the strategic formulation of fresh supermarkets from the perspective of the correlation and correlation between the sales and purchases of vegetable types.

关 键 词：APRIORI算法 K-means++ 关联分析 

分 类 号：F201[经济管理—国民经济]