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Probabilistic Nearest Neighbor Queries on Uncertain Moving Object Trajectories

Summary: Probabilistic NN queries on uncertain moving objects modeled as Markov chains; studies three semantics over a query and a time window. Proposes Bayesian-sampling to generate observation-consistent samples for Monte-Carlo; provides runtime analysis and experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11087
Venue
VLDB
Year
2014
Pagerank
5.2704151e-05
Overall Rank
9,431 | 35.30%
DOI
10.14778/2732232.2732239

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{niedermayer_vldb14,
        title = {{Probabilistic Nearest Neighbor Queries on Uncertain Moving Object Trajectories}},
        author = {Niedermayer, Johannes and Züfle, Andreas and Emrich, Tobias and Renz, Matthias and Mamoulis, Nikos and Chen, Lei and Kriegel, Hans-Peter},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {3},
        pages = {205--216},
        doi = {10.14778/2732232.2732239},
        url = {https://doi.org/10.14778/2732232.2732239},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,054 An Extendable Framework for Managing Uncertain Spatio-Temporal Data 2014 SIGMOD 5.1685424e-05
11,850 Top-k Queries over Digital Traces 2019 SIGMOD 5.093636e-05
12,104 Supporting Data Uncertainty in Array Databases 2015 SIGMOD 5.093636e-05
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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.

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