摘要
本文利用大型百货商场会员消费数据,使用了SQL软件的数据分析功能、K均值聚类算法、模糊C均值算法、模糊综合评价、相关分析等方法,分析该商场会员的消费特征,用T检验法比较了会员与非会员群体之间的差异,建立了会员购买力、生命周期和状态划分的分析方法,计算非活跃会员的激活率.
This paper uses the data analysis function of SQL software, K-means clustering algorithm, fuzzy C-means algorithm, fuzzy comprehensive evaluation, correlation analysis and other methods to analyze the consumption characteristics of the members of large department stores,compares the differences between members and non-members groups by T-test, and establishes the division of members' purchasing power, life cycle and status. The activation rate of inactive members was calculated by analysis method.
作者
王军
杨仁付
WANG Jun;YANG Ren-fu(Anhui Finance&Trade Vocational College,Hefei 230601,China)
出处
《白城师范学院学报》
2019年第4期9-14,共6页
Journal of Baicheng Normal University
基金
安徽高校自然科学研究项目(KJ2016A011)
安徽财贸职业学院科学研究项目(2017nhzrb02)
安徽财贸职业学院科学研究项目(2017nhzrc03)
关键词
K均值聚类算法
模糊C均值算法
模糊综合评价
T检验法
K means clustering algorithm
fuzzy C-means algorithm
fuzzy comprehensive evaluation
T test method