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Identifying Relevant Data for a Biological Database: Handcrafted Rules Versus Machine Learning

With well over one thousand specialized biological databases in use today, the task of automatically identifying novel, relevant data for such databases is increasingly important. In this paper, we describe practical machine learning approaches for identifying MEDLINE documents and Swiss-Prot/TrEMBL...

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Bibliografiset tiedot
Päätekijät: Sehgal, Aditya Kumar, Das, Sanmay, Noto, Keith, Saier, Milton H., Elkan, Charles
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2011
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3980937/
https://ncbi.nlm.nih.gov/pubmed/21393656
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2009.83
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