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Repairing Data through Regular Expressions

Summary: Repair data by enforcing sequences to match a given regex with minimal edits. RSR is a DP over NFAs to measure prefix-regex edit distance (O(n m^2) time, O(mn) space) and adds token-value repair via a unified edit-distance with rule-based selection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11334
Venue
VLDB
Year
2016
Pagerank
4.3587281e-05
Overall Rank
9,301 | 35.30%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,826 Exploiting Structure in Regular Expression Queries 2023 SIGMOD 4.2751057e-05
10,216 The Case For Language Model Approximated LIKE Predicate 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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