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)

Paper ID: hc35fa9b7e11a8fe3
Venue: SIGMOD
Year: 2005
Pagerank: 4.9793485e-05
Overall Rank: 13,019 | 12.47%
DOI: 10.1145/1066157.1066234

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; University of Edinburgh)
2. Kian-Lee Tan (National University of Singapore)
3. Anthony K.H. Tung (National University of Singapore)
4. Xin Xu (National University of Singapore)

BibTeX Citation

@inproceedings{cong_sigmod05,
        title = {{Mining Top-k Covering Rule Groups for Gene Expression Data}},
        author = {Cong, Gao and Tan, Kian-Lee and Tung, Anthony K.H. and Xu, Xin},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066234},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066234},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,902	CSV: Visualizing and Mining Cohesive Subgraphs	2008	SIGMOD	6.9340634e-05

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
29	Fast Algorithms for Mining Association Rules	1994	VLDB	0.0005121339
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027412227
1,561	Exploratory Mining and Pruning Optimizations of Constrained Association Rules	1998	SIGMOD	0.00010240418
13,055	FARMER: Finding Interesting Rule Groups in Microarray Datasets	2004	SIGMOD	4.9793485e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	475	Mining Generalized Association Rules	1995	VLDB
2	9,608	Discovering Top-k Rules using Subjective and Objective Criteria	2023	SIGMOD
3	4,637	Association Rules over Interval Data	1997	SIGMOD
4	8,891	Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds	2025	VLDB
5	14,209	GPX: Interactive Mining of Gene Expression Data	2004	VLDB
6	12,272	Efficient Ad-Hoc Graph Inference and Matching in Biological Databases	2017	SIGMOD
7	10,186	Discovering Top-k Relevant and Diversified Rules	2024	SIGMOD
8	4,873	Mining Optimized Association Rules for Numeric Attributes	1996	PODS
9	13,055	FARMER: Finding Interesting Rule Groups in Microarray Datasets	2004	SIGMOD
10	14,217	Semantic Mining and Analysis of Gene Expression Data	2004	VLDB