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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
4233
Venue
SIGMOD
Year
2010
Pagerank
6.1918164e-05
Overall Rank
4,435 | 69.15%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,297 Robust Set Reconciliation 2014 SIGMOD 6.2885419e-05
7,759 Dscaler: Synthetically Scaling A Given Relational Database 2016 VLDB 4.6593145e-05
10,817 Mining Meaningful Keys and Foreign Keys with High Precision and Recall 2025 VLDB 4.1945683e-05
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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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