The Application of Data Mining on Shopping Behavior of Shopping Mall Customers

• Main Authors: Fan,Jing Yun, 范瀞云
• Other Authors: Cheng,Yu Ting
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/65116276569117967244

碩士 === 國立政治大學 === 統計研究所 === 103 === The rising of national income promoted customers purchasing power. Material needs no longer as before,and must satisfy consumer entertainment at the same time now. Thus ,the shopping malls which combining shopping、dining and entertainment gradually expand. In this study,we used the technology of data mining to the questionnaires provided by T shopping Mall and conducted data analysis. The four parts of questionnaires contain basic information of consumers、consumer behavior、satisfaction and preferences. We analyze consumer behavioral differences between members and non-members by statistical methods and then make market segmentation and marketing decision, increase the number of customers and enhance consumer willingness and loyalty. Moreover, attract non-members to come and consume and bid for membership. Promote the dependence on T shopping mall of customers and expect the results to provide a reference on the marketing plan of T shopping mall in the future.