Warehousing and Analyzing Massive RFID Data Sets

Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected that every major retailer will use RFID systems to track the movement of products from suppliers to warehouses, store backrooms and eventually to points of sale. The volume of information generated by such systems can be enormous as each individual item (a pallet, a case, or an SKU) will leave a trail of data as it moves through different locations. As a departure from the traditional data cube, we propose a new warehousing model that preserves object transitions while providing significant compression and path-dependent aggregates, based on the following observations: (1) items usually move together in large groups through early stages in the system (e.g., distribution centers) and only in later stages (e.g., stores) do they move in smaller groups, and (2) although RFID data is registered at the primitive level...

• Type: Conference
• Year: 2006
• Where: ICDE
• Authors: Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan
• Keywords: Database, ICDE 2006, RFID Data, RFID Systems, Traditional Data Cube