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Benchmarking Declarative Approximate Selection Predicates

Summary: Benchmarks declarative approximate selection predicates; introduces probabilistic similarity predicates for data quality using language models and HMMs with declarative realization. Classifies existing predicates by class and reports runtime and accuracy for data-cleaning tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3864
Venue
SIGMOD
Year
2007
Pagerank
7.3058429e-05
Overall Rank
3,267 | 77.28%
DOI
-

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