Data Mining in the Bioinformatics Domain

Summary: Characterizes bioinformatics data beyond genomic sequences, emphasizing poorly modeled proteins, cells, and organismal responses. Highlights “broad” datasets—few biological samples with thousands of measured attributes—contrasting with conventional “long” data-mining workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 8907
Venue: VLDB
Year: 2000
Pagerank: 5.4574671e-05
Overall Rank: 8,290 | 43.13%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Shalom Tsur (SurroMed, Inc.)

BibTeX Citation

@article{tsur_vldb00,
        title = {{Data Mining in the Bioinformatics Domain}},
        author = {Tsur, Shalom},
        journal = {PVLDB},
        series = {{VLDB} '00},
        pages = {711},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,813	Scientific Data Repositories - Designing for a Moving Target	2003	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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