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Leveraging Spatio-Temporal Redundancy for RFID Data Cleansing

Summary: Bayesian RFID data cleansing leveraging cross-reader and temporal redundancy, with priors and constraints. Proposes an n-state model; proves 3-state optimal; MH-C sampler enforces constraints for efficient posterior cleaning; validated. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd48830a5ce32deaf
Venue
SIGMOD
Year
2010
Pagerank
5.9406205e-05
Overall Rank
5,940 | 60.07%
DOI
10.1145/1807167.1807176

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod10,
        title = {{Leveraging Spatio-Temporal Redundancy for RFID Data Cleansing}},
        author = {Chen, Haiquan and Ku, Wei-Shinn and Wang, Haixun and Sun, Min-Te},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807176},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807176},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
4,473 AutoPlait: Automatic Mining of Co-evolving Time Sequences 2014 SIGMOD 6.5841437e-05
5,153 Learning-Based Cleansing for Indoor RFID Data 2016 SIGMOD 6.2519447e-05
5,986 Querying Uncertain Data with Aggregate Constraints 2011 SIGMOD 5.9260205e-05
7,877 Spatial Data Quality in the IoT Era: Management and Exploitation 2022 SIGMOD 5.4346692e-05
12,692 Distributed Inference and Query Processing for RFID Tracking and Monitoring 2011 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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