Statistical Estimators for Relational Algebra Expressions
Summary: Develops consistent, unbiased estimators for COUNT(E) over arbitrary relational-algebra expressions without assuming value distributions or tuple ordering. Proposes a cluster-sampling plan to boost sample reuse, cut sampling cost, and empirically evaluates estimator accuracy and efficiency. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wen-Chu Hou (Case Western Reserve University)
- 2. Gultekin Ozsoyoglu (Case Western Reserve University)
- 3. Baldeo K Taneja (Case Western Reserve University)
BibTeX Citation
@inproceedings{hou_pods88,
address = {New York, NY, USA},
series = {{PODS} '88},
title = {{Statistical Estimators for Relational Algebra Expressions}},
url = {https://dl.acm.org/doi/10.1145/308386.308455},
doi = {10.1145/308386.308455},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Hou, Wen-Chu and Ozsoyoglu, Gultekin and Taneja, Baldeo K},
year = {1988}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 173 | Simple Random Sampling from Relational Databases | 1986 | VLDB | 0.00027273858 |
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