ABSTRACT
Radio frequency identification (RFID) is a technology that allows a sensor to read, from a distance and without line of sight, a unique identifier that is provided by an “inexpensive” tag attached to an item. RFID offers a possible alternative to barcode identification systems and it facilitates applications like item tracking and inventory management in the supply chain. Suppose that the cleansed RFID data is viewed as a fact table with dimensions. The drill-down operation is implemented in the RFID warehouse in the same manner as the rollup one. Queries on the paths traveled by items are fundamental to many RFID applications and will be the building block on top of which more complex data-mining operators can be implemented. The RFID databases in the experiments were generated using a tree model for object movements. The RFID warehouse can be easily adapted to a fading model where remote historical or distantly located data can be stored with low resolution.
