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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/70313

    Title: 尋找關鍵品項購買序列以分辨 VIP 顧客之研究;Discovering Key Item Buying Sequences to Identify VIP Customers
    Authors: 林彥妘,;Lin,Yen-Yun
    Contributors: 企業管理學系
    Keywords: 資料探勘;RFM價值分析;K-Means分群;序列分析;Data Mining;RFM;K-Means;Sequential Analysis
    Date: 2016-03-14
    Issue Date: 2016-06-04 12:28:25 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 根據80/20法則,企業有高達約80%的利潤僅來自於約20%的VIP顧客,如果能有效地分辨出這些少數的VIP顧客,企業就能夠集中資源服務重要顧客,減少重要顧客的流失率。其中,企業為了瞭解顧客需求以及消費行為,經常使用資料探勘(Data mining)的方法分析顧客的購買習慣,藉此針對不同顧客群制訂不同的行銷方案。
    ;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%.
    Appears in Collections:[企業管理研究所] 博碩士論文

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