Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining
Summary: Introduces Ratio Rules, quantifiable associations scored by RMS “guessing error” for reconstructing hidden matrix cells. Enables forecasting, what-if analysis, outlier detection, and visualization in one pass with small memory—substantially lower error than standard methods. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Flip Korn (University of Maryland)
- 2. Alexandros Labrinidis (University of Maryland)
- 3. Yannis Kotidis (University of Maryland)
- 4. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@article{korn_vldb98,
title = {{Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining}},
author = {Korn, Flip and Labrinidis, Alexandros and Kotidis, Yannis and Faloutsos, Christos},
journal = {PVLDB},
series = {{VLDB} '98},
year = {1998}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,084 | Optimization of Constrained Frequent Set Queries with 2-variable Constraints | 1999 | SIGMOD | 6.2834723e-05 |
| 8,976 | Adding Counting Quantifiers to Graph Patterns | 2016 | SIGMOD | 5.2452044e-05 |
| 9,697 | Analyzing Quantitative Databases: Image is Everything | 2001 | VLDB | 5.1387734e-05 |
| 13,170 | Data Mining on an OLTP System (Nearly) for Free | 2000 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 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 |
| 250 | An Effective Hash-Based Algorithm for Mining Association Rules | 1995 | SIGMOD | 0.00023156569 |
| 467 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00017766906 |
| 475 | Mining Generalized Association Rules | 1995 | VLDB | 0.00017672519 |
| 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB | 0.00016173338 |
| 620 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015502611 |
| 731 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD | 0.00014394521 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 731 | Beyond Market Baskets: Generalizing Association Rules to Correlations | 1997 | SIGMOD |
| 2 | 4,637 | Association Rules over Interval Data | 1997 | SIGMOD |
| 3 | 4,231 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 4 | 4,664 | Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization | 1996 | SIGMOD |
| 5 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 6 | 573 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 7 | 475 | Mining Generalized Association Rules | 1995 | VLDB |
| 8 | 4,873 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS |
| 9 | 29 | Fast Algorithms for Mining Association Rules | 1994 | VLDB |
| 10 | 620 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD |