基于C4.5算法的健身俱乐部会员数据挖掘研究

Study on the Fitness Club Membership Data Mining Based on C4.5 Algorithm

以已投入使用的健身俱乐部管理系统为背景,提出了用C4.5决策树分类算法对健身记录进行数据挖掘。通过该方法找出俱乐部在有效期内的会员的年龄段、性别、会员卡类型和参与健身时间段的规律,提取特定时间段内参与健身的会员特征。实验结果表明:将该分类规则应用到会员管理系统中,可以辅助健身俱乐部的管理者有针对性地制定营销方案。

Based on the developed and used management system of fitness club, puts forward the application of C4.5 decision tree classification algorithm for the fitting-record data mining. By this method finds out the members＇ age, gender, membership card types and the participating time rules in their club current validity period, and extracts fitness participate member features at a specific period of time. The experimental results show that the classification rules applying to the member management system can help health club managers make targeted marketing scheme.