Data mining of Chain convenience stores location

Abstract

Abstract Based on the knowledge of convenience stores, this paper comprehensively probes the influencing factors of their location, and constructs and analyses their location mode. The initial evaluation system was put forward, which consists of 5 primary indexes and 14 secondary indexes. The primary index is divided into population, traffic, competition, self-factors and others. After determining three different location evaluation systems, the location model of chain convenience stores is constructed and verified based on the data of Nanjing. The verification of the model shows that the accuracy of the location model of a convenience store is 90.3%, which indicates that the location model proposed in this paper has high accuracy and practicability.