Discovering Rules about Customer Behavior for Logistics using RFID Tags

摘要

In the computing environment of supermarkets it is expected that RFID tags will be widely used for efficient management of goods so that a lot of data will be gathered as the result of customers' purchase. This paper suggests to using an association rule finding algorithm that can be applicable to the data sets gathered from the pervasive computing environment of supermarkets with data preprocessing using taxonomy for more effective data mining of the data sets.