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T-Cove: An exposure tracing System based on Cleaning Wi-Fi Events on Organizational Premises

Summary: Wi‑Fi connection events are cleaned with LOCATER to produce room-level localization (~90% accuracy) from noisy traces. T‑Cove demonstrates occupancy and exposure tracing for organizational premises, with deployment in 20+ UCI buildings and support for live and historical data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12659
Venue
VLDB
Year
2021
Pagerank
-
Overall Rank
13,461 | 7.65%
DOI
10.14778/3476311.3476344

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{lin_vldb21,
        title = {{T-Cove: An exposure tracing System based on Cleaning Wi-Fi Events on Organizational Premises}},
        author = {Lin, Yiming and Khargonekar, Pramod and Mehrotra, Sharad and Venkatasubramanian, Nalini},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {2783--2786},
        doi = {10.14778/3476311.3476344},
        url = {https://doi.org/10.14778/3476311.3476344},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,200 JENNER: Just-in-time Enrichment in Query Processing 2022 VLDB 5.3058708e-05
11,166 PLAQUE: Automated Predicate Learning at Query Time 2024 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11,733 LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization 2021 VLDB 5.093636e-05
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