Cascadia: A System for Specifying, Detecting, and Managing RFID Events
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On probabilistic models for uncertain sequential pattern mining
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Fuzzy Logic-Based Approach to Detecting a Passive RFID Tag in an Outpatient Clinic
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Mining sequential patterns from probabilistic databases
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
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ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
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SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
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BNCOD'11 Proceedings of the 28th British national conference on Advances in databases
X-CleLo: intelligent deterministic RFID data and event transformer
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Uncertainty in sequential pattern mining
BNCOD'10 Proceedings of the 27th British national conference on Data Security and Security Data
Processing flows of information: From data stream to complex event processing
ACM Computing Surveys (CSUR)
Mining probabilistically frequent sequential patterns in uncertain databases
Proceedings of the 15th International Conference on Extending Database Technology
Evaluating the performance of a discrete manufacturing process using RFID: A case study
Robotics and Computer-Integrated Manufacturing
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We present PEEX, a system that enables applications to define and extract meaningful probabilistic high-level events from RFID data. PEEX effectively copes with errors in the data and the inherent ambiguity of event extraction.