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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
11134
Venue
VLDB
Year
2014
Pagerank
7.0185679e-05
Overall Rank
3,916 | 73.14%
DOI
10.14778/2732939.2732943

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{gruenheid_vldb14,
        title = {{Incremental Record Linkage}},
        author = {Gruenheid, Anja and Dong, Xin Luna and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {9},
        pages = {697--708},
        doi = {10.14778/2732939.2732943},
        url = {https://doi.org/10.14778/2732939.2732943},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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
626 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015656958
871 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.00013496531
3,732 Entity Resolution with Evolving Rules 2010 VLDB 7.1655038e-05
6,723 Record Linkage with Uniqueness Constraints and Erroneous Values 2010 VLDB 5.792469e-05
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