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Robust and Efficient Fuzzy Match for Online Data Cleaning

Summary: Proposes a novel similarity function addressing limitations of fuzzy-match metrics for data cleaning. Develops an efficient fuzzy-match algorithm for real-time validation/cleansing of incoming tuples against reference tables; demonstrated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3442
Venue
SIGMOD
Year
2003
Pagerank
0.00040637896
Overall Rank
155 | 98.93%
DOI
-

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