GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Mining Pharmacy Data Helps to Make Profits
Data Mining and Knowledge Discovery
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Mining in POS Data using a Historical Tree
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Recommender System for Music CDs Using a Graph Partitioning Method
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
String analysis technique for shopping path in a supermarket
Journal of Intelligent Information Systems
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RFID data obtained from customers' movements using radiofrequency identification (RFID) tags contain valuable information for marketing, such as shopping trip time and distance as well as the number of shelf visits. Customers' purchasing behavior and their in-store movements can be analyzed not only by using RFID data, but also by combining it with point of sales (POS) data. In this paper, we propose an index called customer potential value (CPV), which considers customers' potential for purchasing products using association rules and visited shelves, by analyzing the RFID and POS data. Finally, we use CPV for a purchase prediction of products and a method of customers' segmentation of a sales promotion.