Discovering Key Item Buying Sequences to Identify VIP Customers

• Main Authors: Yen-Yun Lin, 林彥妘
• Other Authors: Ping-Yu Hsu
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/65951308123884358003

碩士 === 國立中央大學 === 企業管理學系 === 104 === According to the 80/20 Principle, about 80% of the profits of a company comes from just 20% of customers. If we are able to identify these customers, companies can invest all the efforts to serve those customers and decrease their attrition rate. This important issue has been researched by only few studies. In these studies, data are treated as sets of buying baskets. In this study, transaction data are treated as sequence of buying baskets. The research then finding frequent item buying sequence through setting adequate minimal support in sequential analysis. Moreover, we choosing an adequate threshold value to filter only the key item buying sequences which have enough discriminability. This research discovered 38 key item buying sequence with the accuracy of 78%.