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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)

Paper ID
9302
Venue
VLDB
Year
2004
Pagerank
-
Overall Rank
13,906 | 4.60%
DOI
10.1016/B978-012088469-8.50122-4

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Authors

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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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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