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.
Previous
Page 1 / 1
Next
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 |
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 88 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00035240327 |
| 240 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.0002366381 |
| 349 | Knowledge Discovery in Databases: An Attribute-Oriented Approach | 1992 | VLDB | 0.00020432737 |
| 440 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00018409145 |
| 606 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015804851 |
| 1,899 | DBMS Research at a Crossroads: The Vienna Update | 1993 | VLDB | 9.5203968e-05 |
| 4,766 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.5181854e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,689 | Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining | 1998 | VLDB |
| 2 | 14,223 | SONAR: System for Optimized Numeric Association Rules | 1996 | SIGMOD |
| 3 | 1,217 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB |
| 4 | 4,154 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 5 | 606 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD |
| 6 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 7 | 5,034 | Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases | 1998 | VLDB |
| 8 | 4,545 | Association Rules over Interval Data | 1997 | SIGMOD |
| 9 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 10 | 4,766 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS |