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)
Incoming Non-self Citations Over Time
Authors
- 1. V. Markl (IBM)
- 2. N. Megiddo (IBM)
- 3. M. Kutsch (IBM)
- 4. T.M. Tran (IBM)
- 5. P. Haas (IBM)
- 6. U. Srivastava (Stanford University)
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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