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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
3926
Venue
SIGMOD
Year
2007
Pagerank
7.490881e-05
Overall Rank
3,356 | 76.98%
DOI
10.1145/1247480.1247521

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chandel_sigmod07,
        title = {{Benchmarking Declarative Approximate Selection Predicates}},
        author = {Chandel, Amit and Hassanzadeh, Oktie and Koudas, Nick and Sadoghi, Mohammad and Srivastava, Divesh},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247521},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247521},
        year = {2007}
}

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