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Sampling Dirty Data for Matching Attributes

Summary: Sampling dirty relational data to reveal overlapping string-value sets for joins. Proposes measures blending set-overlap and string-instance similarity, with distributed sampling and comparisons; adds a two-stage filter balancing accuracy and speed. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4295
Venue
SIGMOD
Year
2010
Pagerank
5.7616041e-05
Overall Rank
6,827 | 53.17%
DOI
10.1145/1807167.1807177

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kohler_sigmod10,
        title = {{Sampling Dirty Data for Matching Attributes}},
        author = {Köhler, Henning and Zhou, Xiaofang and Sadiq, Shazia and Shu, Yanfeng and Taylor, Kerry},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807177},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807177},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,220 Robust Set Reconciliation 2014 SIGMOD 5.9425753e-05
7,866 Dscaler: Synthetically Scaling A Given Relational Database 2016 VLDB 5.5281143e-05
11,044 Mining Meaningful Keys and Foreign Keys with High Precision and Recall 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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