Efficient join processing on uncertain data streams
Proceedings of the 18th ACM conference on Information and knowledge management
Finding misplaced items in retail by clustering RFID data
Proceedings of the 13th International Conference on Extending Database Technology
Leveraging spatio-temporal redundancy for RFID data cleansing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A generic framework for handling uncertain data with local correlations
Proceedings of the VLDB Endowment
Ubiquitous RFID: Where are we?
Information Systems Frontiers
ID-Services: an RFID middleware architecture for mobile applications
Information Systems Frontiers
Distributed inference and query processing for RFID tracking and monitoring
Proceedings of the VLDB Endowment
Managing RFID events in large-scale distributed RFID infrastructures
Information Technology and Management
PLR: a benchmark for probabilistic data stream management systems
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
A framework for distributed managing uncertain data in RFID traceability networks
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
An RFID and particle filter-based indoor spatial query evaluation system
Proceedings of the 16th International Conference on Extending Database Technology
Probabilistic inference of object identifications for event stream analytics
Proceedings of the 16th International Conference on Extending Database Technology
RFID-data compression for supporting aggregate queries
ACM Transactions on Database Systems (TODS)
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Sensor devices produce data that are unreliable, low-level, and seldom able to be used directly by applications. In this paper, we propose metaphysical data independence (MDI), a layer of independence that shields applications from the challenges that arise when interacting directly with sensor devices. The key philosophy behind MDI is that applications do not deal with any aspect of physical device data, but rather interface with a high-level reconstruction of the physical world created by a sensor infrastructure. As a concrete instantiation of MDI in such a sensor infrastructure, we detail MDI-SMURF, a Radio Frequency Identification (RFID) middleware system that alleviates issues associated with using RFID data through adaptive techniques based on a novel statistical framework.