Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Warehousing and Analyzing Massive RFID Data Sets
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Towards Traceability across Sovereign, Distributed RFID Databases
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
Efficient storage scheme and query processing for supply chain management using RFID
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Bridging physical and virtual worlds: complex event processing for RFID data streams
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Time parameterized interval r-tree for tracing tags in RFID systems
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
An improved data warehouse model for RFID data in supply chain
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
RFID-data compression for supporting aggregate queries
ACM Transactions on Database Systems (TODS)
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Radio Frequency Identification (RFID) technology plays a key role in supply chains and a challenging problem is the effective and efficient management of the enormous volume of data generated by such systems. In this paper, we propose a new framework for storing and querying a large amount of RFID data. The approach is based on a compression technique that allows a significant saving of space according to a suitable notion of aggregates over RFID data and a logical representation of these aggregates. We also propose an indexing technique for aggregates of RFID data that guarantees the efficient execution of an important class of queries. We finally present the architecture of a tool implementing our approach and demonstrate, with a number of experimental results made with this tool, the feasibility and effectiveness of the underlying techniques.