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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Sehgal, Aditya Kumar, Das, Sanmay, Noto, Keith, Saier, Milton H., Elkan, Charles
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2011
विषय:
ऑनलाइन पहुंच: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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