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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
4232
Venue
SIGMOD
Year
2010
Pagerank
5.3185608e-05
Overall Rank
5,808 | 59.60%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
4,065 AutoPlait: Automatic Mining of Co-evolving Time Sequences 2014 SIGMOD 6.4819215e-05
5,152 Learning-Based Cleansing for Indoor RFID Data 2016 SIGMOD 5.6609383e-05
6,079 Querying Uncertain Data with Aggregate Constraints 2011 SIGMOD 5.2223439e-05
9,494 Spatial Data Quality in the IoT Era: Management and Exploitation 2022 SIGMOD 4.3341665e-05
12,206 Distributed Inference and Query Processing for RFID Tracking and Monitoring 2011 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

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

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