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ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers
A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive amount of literature that needs to be analyzed poses a big data challenge to the processing efficiency of text mining. In this paper, we address...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099625/ https://www.ncbi.nlm.nih.gov/pubmed/29702574 http://dx.doi.org/10.3390/molecules23051028 |