Exploratory analysis of grocery product networks  

作　　者：Ping-Hung Hsieh 

机构地区：[1]College of Business,Oregon State University,Corvallis,OR 97331,USA

出　　处：《Journal of Management Analytics》2022年第2期169-184,共16页管理分析学报（英文）

摘　　要：Finding meaningful sets of co-purchased products allows retailers to manageinventory better and develop market strategies. Analyzing the baskets ofproducts, known as market basket analysis, is typically carried out usingassociation rule mining or community detection approach. This article usesboth methods to investigate a transaction dataset collected from a brick-andmortargrocery store. The findings reveal interesting purchasing patterns oflocal residents and prompt us to consider dynamic modeling of the productnetwork in the future.

关 键 词：market basket analysis association rules community detection graph theory social networks transaction data 

分 类 号：F724.2[经济管理—产业经济]