Sampling Large Databases for Association Rules
Summary: Sample-driven, probabilistic discovery of association rules: mine a random subset to hypothesize likely rules for the full DB. Missed rules can be recovered with a second pass, yielding exact results while retaining near single-pass I/O efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hannu Toivonen (University of Helsinki)
BibTeX Citation
@article{toivonen_vldb96,
title = {{Sampling Large Databases for Association Rules}},
author = {Toivonen, Hannu},
journal = {PVLDB},
series = {{VLDB} '96},
pages = {134},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 240 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.0002366381 |
| 339 | Sequential Sampling Procedures For Query Size Estimation | 1992 | SIGMOD | 0.00020723773 |
| 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00018124452 |
| 460 | Mining Generalized Association Rules | 1995 | VLDB | 0.00018071773 |
| 467 | Random Sampling from B+ trees | 1989 | VLDB | 0.00018002218 |
| 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00016530269 |
| 4,584 | The Power of Sampling in Knowledge Discovery | 1994 | PODS | 6.6181342e-05 |
| 6,322 | NeuroRule: A Connectionist Approach to Data Mining | 1995 | VLDB | 5.9147876e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 606 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD |
| 2 | 4,154 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 3 | 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB |
| 4 | 7,330 | Discovering Association Rules from Big Graphs | 2022 | VLDB |
| 5 | 240 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD |
| 6 | 4,766 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS |
| 7 | 173 | Simple Random Sampling from Relational Databases | 1986 | VLDB |
| 8 | 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 9 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 10 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |