Mining Optimized Association Rules for Numeric Attributes
Summary: Mine rules of the form (numeric range) ⇒ Boolean, optimizing either max-support with confidence ≥ p or max-confidence with support ≥ s. Novel linear-time computational-geometry algorithms on sorted data plus randomized bucketing to avoid expensive sorts, enabling practical scalable mining across hundreds of attributes. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Takeshi Fukuda (IBM)
- 2. Yasuhiko Morimoto (IBM)
- 3. Shinichi Morishita (IBM)
- 4. Takeshi Tokuyama (IBM)
BibTeX Citation
@inproceedings{fukuda_pods96,
address = {New York, NY, USA},
series = {{PODS} '96},
title = {{Mining Optimized Association Rules for Numeric Attributes}},
url = {https://dl.acm.org/doi/10.1145/237661.237708},
doi = {10.1145/237661.237708},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Fukuda, Takeshi and Morimoto, Yasuhiko and Morishita, Shinichi and Tokuyama, Takeshi},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 732 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD | 0.00014387748 |
| 2,871 | BOAT—Optimistic Decision Tree Construction | 1999 | SIGMOD | 7.9195647e-05 |
| 4,181 | Traversing Itemset Lattices with Statistical Metric Pruning | 2000 | PODS | 6.7522751e-05 |
| 4,602 | Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules | 1996 | VLDB | 6.5046073e-05 |
| 4,666 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD | 6.4770096e-05 |
| 5,155 | Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases | 1998 | VLDB | 6.2487299e-05 |
| 6,407 | Efficient Construction of Regression Trees with Range and Region Splitting | 1997 | VLDB | 5.7932438e-05 |
| 9,703 | Analyzing Quantitative Databases: Image is Everything | 2001 | VLDB | 5.1363407e-05 |
| 14,539 | SONAR: System for Optimized Numeric Association Rules | 1996 | SIGMOD | - |
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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 | 0.00064391979 |
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00051189413 |
| 94 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.0003456395 |
| 250 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00023145961 |
| 359 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB | 0.00020003932 |
| 452 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00018010465 |
| 620 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015495576 |
| 1,963 | DBMS Research at a Crossroads: The Vienna Update | 1993 | VLDB | 9.3040056e-05 |
| 4,666 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD | 6.4770096e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 467 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 2 | 1,561 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD |
| 3 | 250 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD |
| 4 | 4,640 | Association Rules over Interval Data | 1997 | SIGMOD |
| 5 | 5,155 | Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases | 1998 | VLDB |
| 6 | 620 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD |
| 7 | 475 | Sampling Large Databases for Association Rules | 1996 | VLDB |
| 8 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 9 | 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 10 | 4,666 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD |