基于聚类分析的电子商务用户行为识别

摘要

In the actual development of the practical e-commerce enterprises,how to identify the e-commerce user behavior, evaluate the e-commerce user behavior effectively,and choose the optimal marketing decision of the e-commerce user is the purpose to realize the e-commerce user marketing. The cluster analysis method is used to perform the cluster analysis and recog-nition for the e-commerce user behavior,which can work out the development decision suitable for the e-commerce user marke-ting. The conclusion proves that the identification based on cluster analysis method can identify the e-commerce user behavior correctly,and provide a scientific basis for the optimization of the marketing decision of e-commerce business user.%在实际电子商务企业发展中,识别电子商务用户行为,对电子商务用户行为进行行之有效的评估,选择出最优的电子商务用户营销决策,以达成电子商务用户营销目的.应用聚类分析方法,通过对电子商务用户的行为进行聚类分析识别,可以优化制定出适合电子商务用户营销的发展决策.结论证实,基于聚类分析方法可以正确识别电子商务用户行为,为优化电商商务用户营销决策提供科学依据.