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Linking Temporal Records

Summary: Time-aware record linkage via time decay to capture entity value evolution across long temporal spans. Instead of local pairwise comparisons, it applies time-ordered, global clustering to enforce temporal consistency and achieve significant gains over traditional linkage on temporal datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10515
Venue
VLDB
Year
2011
Pagerank
8.0799603e-05
Overall Rank
2,829 | 80.60%
DOI
10.14778/3402707.3402733

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb11,
        title = {{Linking Temporal Records}},
        author = {Li, Pei and Dong, Xin Luna and Maurino, Andrea and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {11},
        doi = {10.14778/3402707.3402733},
        url = {https://doi.org/10.14778/3402707.3402733},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
254 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.00023199211
306 Eliminating Fuzzy Duplicates in Data Warehouses 2002 VLDB 0.00021839661
871 Framework for Evaluating Clustering Algorithms in Duplicate Detection 2009 VLDB 0.00013496531
2,610 Maintaining Time-Decaying Stream Aggregates 2003 PODS 8.347507e-05
3,176 Behavior Based Record Linkage 2010 VLDB 7.6655235e-05
3,815 Longitudinal Analytics on Web Archive Data: It's About Time! 2011 CIDR 7.1003162e-05
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