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)
Incoming Non-self Citations Over Time
Authors
- 1. Peter J. Haas (IBM)
- 2. Jeffrey F. Naughton (University of Wisconsin)
- 3. S. Seshadri (Indian Institute of Technology)
- 4. Lynne Stokes (University of Texas)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 50 of 59 citing papers.
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 |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0024089429 |
| 55 | Statistical Estimators for Relational Algebra Expressions | 1988 | PODS | 0.00040746149 |
| 132 | Predicate Migration: Optimizing Queries with Expensive Predicates | 1993 | SIGMOD | 0.00030378624 |
| 178 | Processing Aggregate Relational Queries with Hard Time Constraints | 1989 | SIGMOD | 0.00026881845 |
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