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Modeling and Querying Possible Repairs in Duplicate Detection

Summary: Models duplicate detection as uncertain outcomes over parameterized clustering; proposes a compact uncertainty model for the space of possible repairs. Supports efficient relational queries on repairs and new query types; experiments show scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10074
Venue
VLDB
Year
2009
Pagerank
7.4697134e-05
Overall Rank
3,371 | 76.88%
DOI
10.14778/1687627.1687695

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{beskales_vldb09,
        title = {{Modeling and Querying Possible Repairs in Duplicate Detection}},
        author = {Beskales, George and Soliman, Mohamed A. and Ilyas, Ihab F. and Ben-David, Shai},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687695},
        url = {https://doi.org/10.14778/1687627.1687695},
        year = {2009}
}

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