Mining Top-k Covering Rule Groups for Gene Expression Data
Summary: Proposes Top-k Covering Rule Groups to mine gene-expression data per row, skipping column enumeration and yielding speedups. Presents RCBT, a classifier from top-k rule groups with a bounded set, achieving competitive accuracy and disease insights. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Gao Cong
- 2. Kian-Lee Tan
- 3. Anthony K.H. Tung
- 4. Xin Xu
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,480 | CSV: Visualizing and Mining Cohesive Subgraphs | 2008 | SIGMOD | 7.0538737e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076161096 |
| 181 | Mining Frequent Patterns without Candidate Generation | 2000 | SIGMOD | 0.00036992674 |
| 1,626 | Exploratory Mining and Pruning Optimizations of Constrained Association Rules | 1998 | SIGMOD | 0.00011094469 |
| 12,572 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 4.1945683e-05 |
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| 4,218 | Mining Optimized Association Rules for Numeric Attributes | 1996 | PODS | 6.3511866e-05 |
| 12,572 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 4.1945683e-05 |
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