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Selectivity Estimation For Boolean Queries

Summary: Proposes compact Monte Carlo set-hash signatures that represent the set of strings containing each substring, enabling on-the-fly estimation of correlations among substring predicates to answer arbitrary Boolean substring queries. Space-efficient, approximate method scales to super-exponential predicate combinations and empirically outperforms independence-based selectivity estimates for IR/query-optimization and query-refinement tasks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1211
Venue
PODS
Year
2000
Pagerank
9.2445049e-05
Overall Rank
2,061 | 85.87%
DOI
10.1145/335168.335225

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_pods00,
        address = {New York, NY, USA},
        series = {{PODS} '00},
        title = {{Selectivity Estimation For Boolean Queries}},
        url = {https://dl.acm.org/doi/10.1145/335168.335225},
        doi = {10.1145/335168.335225},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Chen, Zhiyuan and Korn, Flip and Koudas, Nick and Muthukrishnan, S.},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
1,140 Estimating Alphanumeric Selectivity in the Presence of Wildcards 1996 SIGMOD 0.0001200574
1,427 Substring Selectivity Estimation 1999 PODS 0.00010812749
3,207 Multi-Dimensional Substring Selectivity Estimation 1999 VLDB 7.6364508e-05
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