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: 9111
Venue: VLDB
Year: 2004
Pagerank: -
Overall Rank: 13,705 | 4.66%
DOI: -

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Rank	Cited Paper	Year	Venue	Pagerank
12,572	FARMER: Finding Interesting Rule Groups in Microarray Datasets	2004	SIGMOD	4.1945683e-05

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