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- W54362019 abstract "Recently, sales data of a store is called POS (Point of Sales) data. POS data set of items that each customer purchased is highly expected to be utilized for creating new sales strategies. Though POS data is generally analyzed by data mining techniques, the results do not contain the fact why the customers purchased the items. Therefore, customers moving history in a store is important because such data is directly connected to the reason why they have bought items. However, it was difficult to obtain moving history data. In this paper, Sales Strategy Mining system that supports users to create new sales strategies with customers moving history is proposed. Moving history data is combined with POS data and visualized on the interface effectively. According to the experimental results, the system was effective to create new various sales strategies." @default.
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- W54362019 date "2013-01-01" @default.
- W54362019 modified "2023-09-25" @default.
- W54362019 title "Sales Strategy Mining System with Visualization of Action History" @default.
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- W54362019 doi "https://doi.org/10.1007/978-3-642-39226-9_64" @default.
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