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)
Incoming Non-self Citations Over Time
Authors
- 1. Zhiyuan Chen (Cornell University)
- 2. Flip Korn (AT&T)
- 3. Nick Koudas (AT&T)
- 4. S. Muthukrishnan (AT&T)
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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| 3 | 9,793 | Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes | 2023 | SIGMOD |
| 4 | 1,140 | Estimating Alphanumeric Selectivity in the Presence of Wildcards | 1996 | SIGMOD |
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