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Record Linkage with Uniqueness Constraints and Erroneous Values

Summary: Models linkage with uniqueness constraints as a k-partite graph clusterer, combining value similarity and source cooccurrence for linkage. Tolerates limited violations, separates incorrect values from true ones, with scalable, validated accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10097
Venue
VLDB
Year
2010
Pagerank
4.9155856e-05
Overall Rank
6,808 | 52.69%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
2,830 Interaction between Record Matching and Data Repairing 2011 SIGMOD 8.0515409e-05
4,380 Incremental Record Linkage 2014 VLDB 6.2325868e-05
6,691 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 4.9573939e-05
9,489 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 4.3300131e-05
11,057 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.1905499e-05
11,225 Splitting Tuples of Mismatched Entities 2023 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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