The Power of Sampling in Knowledge Discovery
Summary: Approximates truth of tuple-relational-calculus sentences by random sampling, introducing two error measures for universal sentences. Gives near-tight sample-size bounds to catch all n k-quantifier universals with error ≥ ε: O((log n)/ε) or O(|M|^{1-1/k}·log n/ε), and extends to universal–existential cases. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jyrki Kivinen (University of California Santa Cruz)
- 2. Heikki Mannila (University of Helsinki)
BibTeX Citation
@inproceedings{kivinen_pods94,
address = {New York, NY, USA},
series = {{PODS} '94},
title = {{The Power of Sampling in Knowledge Discovery}},
url = {https://dl.acm.org/doi/10.1145/182591.182601},
doi = {10.1145/182591.182601},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Kivinen, Jyrki and Mannila, Heikki},
year = {1994}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 462 | Sampling Large Databases for Association Rules | 1996 | VLDB | 0.00018065337 |
| 2,872 | Estimating the Confidence of Conditional Functional Dependencies | 2009 | SIGMOD | 8.0104819e-05 |
| 5,733 | A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets | 2006 | VLDB | 6.1062071e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 76 | Practical Selectivity Estimation through Adaptive Sampling | 1990 | SIGMOD | 0.00037054261 |
| 339 | Sequential Sampling Procedures For Query Size Estimation | 1992 | SIGMOD | 0.00020723773 |
| 6,847 | Semantic Complexity of Classes of Relational Queries and Query Independent Data Partitioning | 1991 | PODS | 5.7554494e-05 |
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