EnviroMeter: A Platform for Querying Community-Sensed Data
Summary: EnviroMeter demonstrates adaptive model-based continuous query processing for geo-temporally skewed, community-sensed pollution data, outperforming indexed raw-data queries by orders of magnitude. Delivers live results to smartphones and web interfaces. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Saket Sathe (EPFL)
- 2. Arthur Oviedo (EPFL)
- 3. Dipanjan Chakraborty (IBM)
- 4. Karl Aberer (EPFL)
BibTeX Citation
@article{sathe_vldb13,
title = {{EnviroMeter: A Platform for Querying Community-Sensed Data}},
author = {Sathe, Saket and Oviedo, Arthur and Chakraborty, Dipanjan and Aberer, Karl},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1294--1297},
doi = {10.14778/2536274.2536299},
url = {https://doi.org/10.14778/2536274.2536299},
year = {2013}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 359 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.0002023153 |
| 1,201 | SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases | 2004 | SIGMOD | 0.00011674339 |
| 7,530 | PLACE: A Query Processor for Handling Real-time Spatio-temporal Data Streams | 2004 | VLDB | 5.6029996e-05 |
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