In this paper, we present a study on association rule mining based on real POS data from a SME (Small and Medium Enterprise). Our main contribution is proposing a new criterion, called R-repeat, to evaluate the significance of rules by focusing attention to the purchase pattern repeated by a certain customer We also focus on detecting a special customer segment, called R-repeater. In addition, we make a comparison between R-repeater segment and the customer segments by RFM analysis, and confirm that R-repeater is a loyal customer segment.
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