大数据中的大数据：从 Twitter 到脑机接口。
Bigger data for big data: from Twitter to brain-computer interfaces.
机构信息
School of Systems Engineering, University of Reading, Reading RG6 6AH, United Kingdom.
School of Computing Science and Digital Media, The Robert Gordon University, Aberdeen AB25 1HG, United Kingdom.
出版信息
Behav Brain Sci. 2014 Feb;37(1):97-8. doi: 10.1017/S0140525X13001854.
We are sympathetic with Bentley et al.'s attempt to encompass the wisdom of crowds in a generative model, but posit that a successful attempt at using big data will include more sensitive measurements, more varied sources of information, and will also build from the indirect information available through technology, from ancillary technical features to data from brain-computer interfaces.
我们对本特利等人试图在生成模型中包含群体智慧表示同情，但认为成功地利用大数据将包括更敏感的测量、更多样化的信息来源，并且还将通过技术、从辅助技术特征到脑机接口数据中获取的间接信息中进行构建。
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