Mining Quantitative Association Rules in Large Relational Tables
Summary: Proposes mining quantitative and categorical association rules in large relational tables via discretizing attributes into partitions. Defines partial completeness for discretization loss and a greater-than-expected-value measure to prune and rank rules. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ramakrishnan Srikant (IBM; University of Wisconsin)
- 2. Rakesh Agrawal (IBM)
BibTeX Citation
@inproceedings{srikant_sigmod96,
title = {{Mining Quantitative Association Rules in Large Relational Tables}},
author = {Srikant, Ramakrishnan and Agrawal, Rakesh},
series = {{SIGMOD} '96},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/233269.233311},
url = {https://dl.acm.org/doi/10.1145/233269.233311},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.001157935 |
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 240 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.0002366381 |
| 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00018124452 |
| 460 | Mining Generalized Association Rules | 1995 | VLDB | 0.00018071773 |
| 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00016530269 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,565 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD |
| 2 | 462 | Sampling Large Databases for Association Rules | 1996 | VLDB |
| 3 | 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 4 | 6,689 | Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining | 1998 | VLDB |
| 5 | 460 | Mining Generalized Association Rules | 1995 | VLDB |
| 6 | 4,545 | Association Rules over Interval Data | 1997 | SIGMOD |
| 7 | 4,154 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 8 | 4,766 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS |
| 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 |