基于Apriori算法的智慧商场模型  

Intellectualized mall model based on Apriori algorithm

作　　者：郑佳敏[1] 钱鹏江[1] 余梦巧 杨艺[1] 

机构地区：[1]江南大学数字媒体学院,江苏无锡214122

出　　处：《无锡职业技术学院学报》2015年第5期45-48,55,共5页Journal of Wuxi Institute of Technology

基　　金：国家自然科学基金(61202311);江苏省自然科学基金(BK201221834);江苏省产学研前瞻性研究项目(BY2013015-02);江苏省大学生创新创业训练计划项目(201510295019Y)

摘　　要：随着顾客的消费水平日益提高,实现商场的智能化管理成为能够刺激消费,实现利润增长的重要手段和必然趋势。为此,针对智慧商场的商品摆放位置优化需求,该文分析数据挖掘中关联规则挖掘领域的Apriori算法,并基于该算法提出可行的智慧商场存储位置优化模型,实现对顾客购物历史数据的相关性分析,进而实现相关商品位置摆放优化以促进商场的利润增长。With customers＇ consumption increasing day by day,it has become an important way and inevitable tendency to realize the intellectualized management in shopping centers in order to expand consumption and obtain profit growth.To meet the optimization requirement of product storage location in intellectualized mall,the Apriori algorithm in the field of association rules in data development is analyzed in this paper,and based on this algorithm,by performing the correlation analysis on historical customers＇ consuming data,this paper proposes a feasible,storage location optimization model so as to optimize the storage locations of correlative products and further achieve the maximum profits.

关 键 词：数据挖掘 关联规则 APRIORI算法 存储位置优化 智慧商场 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]