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Consistently Estimating the Selectivity of Conjuncts of Predicates

Summary: Introduces a maximum-entropy (ME) framework for consistently estimating the selectivity of conjunctive predicates under multivariate statistics. ME exploits all available information, avoids ad hoc bias, and falls back to uniform/independence when data are sparse, improving cardinality estimates and plan quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9510
Venue
VLDB
Year
2005
Pagerank
9.4557372e-05
Overall Rank
1,936 | 86.72%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{markl_vldb05,
        title = {{Consistently Estimating the Selectivity of Conjuncts of Predicates}},
        author = {Markl, V. and Megiddo, N. and Kutsch, M. and Tran, T.M. and Haas, P. and Srivastava, U.},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {373--384},
        year = {2005}
}

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