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Cleaning Uncertain Data with Quality Guarantees

Summary: Proposes PWS-quality, an ambiguity metric for probabilistic databases under possible-world semantics. Develops polynomial-time optimal cleaning to maximize PWS-quality by probing uncertain objects; efficient evaluation for independent and ranking queries, with practical heuristics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9900
Venue
VLDB
Year
2008
Pagerank
6.2672687e-05
Overall Rank
5,318 | 63.52%
DOI
10.14778/1454159.1454164

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cheng_vldb08,
        title = {{Cleaning Uncertain Data with Quality Guarantees}},
        author = {Cheng, Reynold and Chen, Jinchuan and Xie, Xike},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {2},
        pages = {722--733},
        doi = {10.14778/1454159.1454164},
        url = {https://doi.org/10.14778/1454159.1454164},
        year = {2008}
}

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