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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10114/13724

タイトル: POSデータを用いたエンド陳列実施の判別
著者: 前田, 瑛
Maeda, Yo
発行日: 2017-3-31
出版者: 法政大学大学院理工学・工学研究科
抄録: It is of great importance for sales promotion management to optimize how the retail products should be displayed in a store. Among the various techniques of the sales promotion, we especially focus on the technique of displaying the products at the end of shelves in the store. It is widely believed that the efficient usage of the end of shelves can yield more chances of selling the products in the supermarket. In order to ensure this fact, we need to obtain the related data sets. However, it is difficult to collect/record the data sets with low cost which explain the relation between the performance of sales and whether the products were displayed at the end of shelves in the actual situation. In this research, we discuss the methodology to estimate whether the several specified products were actually displayed at the end of the shelves from other information obtained from the point-of-sales (POS) data sets. We apply several discriminant analysis models to the real data sets and discuss their performances. Key Words : Discriminant analysis, POS data, SVM, logistic regression
記述: ヘッダー部分に誤記 ; (誤) 法政大学大学院理工学・工学研究科紀要 (正) 法政大学大学院紀要. 理工学・工学研究科編
URI: http://hdl.handle.net/10114/13724
ISSN: 21879923
出現コレクション:法政大学大学院紀要. 理工学・工学研究科編


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