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Evaluating Probabilistic Queries over Imprecise Data

Summary: Probabilistic query evaluation over uncertain, evolving sensor and moving-object data; introduces query classes and algorithms for probabilistic answers. Also proposes quality metrics and update policies to boost accuracy, with experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3524
Venue
SIGMOD
Year
2003
Pagerank
0.0002023153
Overall Rank
359 | 97.54%
DOI
10.1145/872757.872823

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cheng_sigmod03,
        title = {{Evaluating Probabilistic Queries over Imprecise Data}},
        author = {Cheng, Reynold and Kalashnikov, Dmitri V. and Prabhakar, Sunil},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872823},
        url = {https://dl.acm.org/doi/10.1145/872757.872823},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
12,571 Query Answering Techniques on Uncertain and Probabilistic Data 2008 SIGMOD 5.093636e-05
12,600 Systems Aspects of Probabilistic Data Management 2008 VLDB 5.093636e-05
12,728 Predicate Result Range Caching for Continuous Queries 2005 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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