Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Efficient and effective RFID data warehousing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach
IEEE Transactions on Knowledge and Data Engineering
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RFID is a recent technology that has been widely used in education, supply chain management, military, airline, library, security, healthcare, animal farms and other areas. RFID tags store unique identification information of objects and communicate with the reader. The data observed by the reader are very dirty and unreliable. Our major aim was to design an RFID based application that would provide efficient means to perform essential information management for health care domain and to use the error free data for high-end applications. Small mistakes in healthcare could cause huge loss of life and incur massive financial losses. Data quality has become increasingly important to many organizations specifically for healthcare. So we have simulated the RFID in healthcare and next as a challenge took the dirty RFID data to perform cleaning in an effective manner using our newly proposed algorithm. Our approach is a hybrid approach of middleware and deferred because it is not always possible to remove all anomalies and redundancies in middleware. The processing of other anomalies is deferred until the query time and cleaned by business rules. Experimental results show that the proposed approach performs the cleaning in an effective manner compared to the existing approaches.