Composite Event Specification in Active Databases: Model & Implementation
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Composite Events for Active Databases: Semantics, Contexts and Detection
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A deferred cleansing method for RFID data analytics
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Efficient pattern matching over event streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Event queries on correlated probabilistic streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Optimizing Complex Event Processing over RFID Data Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Efficient Data Interpretation and Compression over RFID Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Efficient filtering of composite events
BNCOD'03 Proceedings of the 20th British national conference on Databases
Recognizing patterns in streams with imprecise timestamps
Proceedings of the VLDB Endowment
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Existing RFID complex event processing (CEP) techniques always assume that raw RIFD data has been first cleansed to filter out all unreliable readings upfront. But this may cause delayed triggering of matched complex events. Furthermore, since the cleansed event streams need to be temporarily buffered for CEP evaluation, it may generate a large number of intermediate results. To address these issues, we propose an approach to perform CEP directly over unreliable RFID event streams by incorporating cleansing requirements into complex event specifications, and then employ a non-deterministic finite automata (NFA) framework to evaluate the transformed complex events. Experimental results show that our approach is effective and efficient.