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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
9883
Venue
VLDB
Year
2009
Pagerank
7.1742067e-05
Overall Rank
3,360 | 76.63%
DOI
-

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