基于关联规则数据挖掘的Apriori算法应用分析
Analyzing the Application of Apriori Algorithm Based on Association Rule Mining
黄石安1
作者信息
- 1. 无锡商业职业技术学院数字商务学院,江苏无锡 214153
- 折叠
摘要
基于关联规则的数据挖掘主要用于发现数据集中项目之间的联系.以Apriori算法为核心,利用店铺在线订单作为数据载体,深入挖掘顾客购买商品的历史记录,探究商品之间的关联性.通过分析这些关联规则,商家可以更精准地了解顾客的购物喜好和行为模式,从而制定出更具针对性和实效性的营销策略,有效提升商品的销售业绩.
Abstract
Association rule mining is primarily used to discover connections between items in a dataset.With the Apriori algorithm as the core and the online orders of stores as the data carrier,this paper explores deeply into the historical records of customers'orders in order to discover the association between different goods.Through the analysis of these association rules,merchants can more accurately understand customers'shopping preferences and behavior patterns,so as to formulate more targeted and practical marketing strategies and effectively improve the sales performance.
关键词
关联规则/在线订单/Apriori算法Key words
association rules/online orders/Apriori algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据