Adaptive Cleaning for RFID Data Streams
Summary: Declarative, adaptive SMURF treats RFID readings as samples from the physical world and infers the optimal smoothing window. Uses binomial sampling and pi-estimators to adaptively set smoothing window, enabling principled, accurate RFID data cleaning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shawn R. Jeffery (University of California Berkeley)
- 2. Minos Garofalakis (Intel)
- 3. Michael J. Franklin (University of California Berkeley)
BibTeX Citation
@article{jeffery_vldb06,
title = {{Adaptive Cleaning for RFID Data Streams}},
author = {Jeffery, Shawn R. and Garofalakis, Minos and Franklin, Michael J.},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {163--174},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 20 of 20 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 111 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00032990214 |
| 337 | Model-Driven Data Acquisition in Sensor Networks | 2004 | VLDB | 0.00020783399 |
| 1,322 | Design Considerations for High Fan-in Systems: The HiFi Approach | 2005 | CIDR | 0.00011155403 |
| 1,888 | Aurora: A Data Stream Management System | 2003 | SIGMOD | 9.5338565e-05 |
| 1,990 | Temporal Management of RFID Data | 2005 | VLDB | 9.3484709e-05 |
| 3,374 | Integrating Automatic Data Acquisition with Business Processes: Experiences with SAP's Auto-ID Infrastructure | 2004 | VLDB | 7.4640927e-05 |
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