Selectivity Estimation for Fuzzy String Predicates in Large Data Sets
Summary: Proposes Sepia, a histogram-based selectivity estimator for fuzzy string predicates. It clusters strings, builds per-cluster and global histograms, and uses a pivot to propagate q–s similarity via edit distance; extensible to other similarity measures and robust to nonuniform errors. (summarized by gpt-5-nano on Feb 09 2026)
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BibTeX Citation
@article{jin_vldb05,
title = {{Selectivity Estimation for Fuzzy String Predicates in Large Data Sets}},
author = {Jin, Liang and Li, Chen},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {397},
year = {2005}
}
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