Table of Contents
Big Data Cogn. Comput., Volume 3, Issue 1 (March 2019)
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Cover Story (view full-size image) Though the term “big data” is widely used in biomedical publications, it has a wide array of [...] Read more. Though the term “big data” is widely used in biomedical publications, it has a wide array of definitions. This ambiguity, therefore, raises the question: what does the term “big data” mean when used in a scientific document? In an attempt to answer this question, this paper uses text mining to compare publications that use the term big data with those that do not. The 100 classifiers generated by this method can correctly distinguish between big data and non-big data documents and identify terms specific to big data themes (`computational', `mining', and `challenges'), as well as terms that indicate the relevant research field (`genomics'). These results indicate that there is a detectable and stable difference between publications that use the term big data and those that do not. Moreover, the use of the term big data in a publication seems to indicate a distinct type of research in the biomedical field. View this paper.