FARMER: Finding Interesting Rule Groups in Microarray Datasets
Summary: FARMER handles microarray data with many columns and few rows by mining rule groups tied to common row sets rather than single rules. Exploring row enumeration and applying min support, confidence, and chi-square, FARMER prunes and beats prior rule mining on data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Gao Cong (National University of Singapore)
- 2. Anthony K. H. Tung (National University of Singapore)
- 3. Xin Xu (National University of Singapore)
- 4. Feng Pan (National University of Singapore)
- 5. Jiong Yang (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{cong_sigmod04,
title = {{FARMER: Finding Interesting Rule Groups in Microarray Datasets}},
author = {Cong, Gao and Tung, Anthony K. H. and Xu, Xin and Pan, Feng and Yang, Jiong},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007587},
url = {https://dl.acm.org/doi/10.1145/1007568.1007587},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,862 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0665158e-05 |
| 12,729 | Mining Top-k Covering Rule Groups for Gene Expression Data | 2005 | SIGMOD | 5.093636e-05 |
| 13,906 | Semantic Mining and Analysis of Gene Expression Data | 2004 | VLDB | - |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00052255472 |
| 393 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.0001934104 |
| 1,535 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD | 0.00010463058 |
| 1,994 | RainForest - A Framework for Fast Decision Tree Construction of Large Datasets | 1998 | VLDB | 9.3409624e-05 |
| 4,092 | Traversing Itemset Lattices with Statistical Metric Pruning | 2000 | PODS | 6.907339e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 462 | Sampling Large Databases for Association Rules | 1996 | VLDB |
| 2 | 27 | Fast Algorithms for Mining Association Rules | 1994 | VLDB |
| 3 | 6,689 | Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining | 1998 | VLDB |
| 4 | 4,545 | Association Rules over Interval Data | 1997 | SIGMOD |
| 5 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 6 | 460 | Mining Generalized Association Rules | 1995 | VLDB |
| 7 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 8 | 4,154 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 9 | 12,729 | Mining Top-k Covering Rule Groups for Gene Expression Data | 2005 | SIGMOD |
| 10 | 13,906 | Semantic Mining and Analysis of Gene Expression Data | 2004 | VLDB |