Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization
Summary: Two-dimensional optimized association rules over two numeric attributes and one Boolean attribute (e.g., Age, Balance ⇒ CardLoan=Yes). Algorithms find optimal regions for gain, support, and confidence under rectangle and admissible (connected, x-monotone) region classes; implemented for admissible regions with a visualization system. (summarized by gpt-5-nano 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_sigmod96,
title = {{Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization}},
author = {Fukuda, Takeshi and Morimoto, Yasuhiko and Morishita, Shinichi and Tokuyama, Takeshi},
series = {{SIGMOD} '96},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/233269.233313},
url = {https://dl.acm.org/doi/10.1145/233269.233313},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 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 | 0.00064420972 |
| 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.0005121339 |
| 94 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00034579889 |
| 250 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00023156569 |
| 359 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB | 0.00020013291 |
| 452 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00018018759 |
| 620 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015502611 |
| 1,962 | DBMS Research at a Crossroads: The Vienna Update | 1993 | VLDB | 9.3084018e-05 |
| 4,873 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.372839e-05 |
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