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Incremental Record Linkage

Summary: End-to-end incremental record linkage framework for updating clusters as data arrives; integrates updates with existing clusters. Exploits new evidence from updates to repair prior linkage errors; achieves significant speedups while preserving linkage quality on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10946
Venue
VLDB
Year
2014
Pagerank
6.2383094e-05
Overall Rank
4,383 | 69.51%
DOI
-

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Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
814 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00016370594
936 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.0001521549
3,532 Entity Resolution with Evolving Rules 2010 VLDB 7.0020216e-05
6,810 Record Linkage with Uniqueness Constraints and Erroneous Values 2010 VLDB 4.9203397e-05
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