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Sampling-Based Estimation of the Number of Distinct Values of an Attribute

Summary: Introduces sampling estimators for attribute cardinality, including a skew-aware hybrid combining smoothed jackknife and Shlosser methods. First broad empirical comparison on highly skewed real database distributions; hybrid achieves best average precision. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8469
Venue
VLDB
Year
1995
Pagerank
0.00037277061
Overall Rank
75 | 99.49%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{haas_vldb95,
        title = {{Sampling-Based Estimation of the Number of Distinct Values of an Attribute}},
        author = {Haas, Peter J. and Naughton, Jeffrey F. and Seshadri, S. and Stokes, Lynne},
        journal = {PVLDB},
        series = {{VLDB} '95},
        pages = {311},
        year = {1995}
}

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