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Optimizing Probabilistic Query Processing on Continuous Uncertain Data

Summary: Optimizes probabilistic threshold queries on continuous uncertain data with (i) new indexes to speed joins, (ii) dimensionality reduction and fast filters for selections, and (iii) a dynamic per-tuple query plan. Empirical results on real data and benchmarks show accuracy and substantial performance gains over state-of-the-art threshold optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10370
Venue
VLDB
Year
2011
Pagerank
5.5614818e-05
Overall Rank
7,711 | 47.10%
DOI
10.14778/3402707.3402751

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{peng_vldb11,
        title = {{Optimizing Probabilistic Query Processing on Continuous Uncertain Data}},
        author = {Peng, Liping and Diao, Yanlei and Liu, Anna},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {11},
        pages = {1169--1180},
        doi = {10.14778/3402707.3402751},
        url = {https://doi.org/10.14778/3402707.3402751},
        year = {2011}
}

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