Semantic Mining and Analysis of Gene Expression Data
Summary: Novel depth-first row-wise FARMER for mining association rules in wide, gene-expression data. Clusters rules into IRGs under user-specified thresholds on support, confidence and chi-square; prototype supports semantic mining and visual analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xin Xu (National University of Singapore)
- 2. Gao Cong (National University of Singapore)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Kian-Lee Tan (National University of Singapore)
- 5. Anthony K. H. Tung (National University of Singapore)
BibTeX Citation
@article{xu_vldb04,
title = {{Semantic Mining and Analysis of Gene Expression Data}},
author = {Xu, Xin and Cong, Gao and Ooi, Beng Chin and Tan, Kian-Lee and Tung, Anthony K. H.},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {1261--1264},
doi = {10.1016/B978-012088469-8.50122-4},
url = {https://doi.org/10.1016/B978-012088469-8.50122-4},
year = {2004}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,765 | FARMER: Finding Interesting Rule Groups in Microarray Datasets | 2004 | SIGMOD | 5.093636e-05 |
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