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Quantitative Analysis of Research Tendency on Hotspot of Library's Data Literacy Education in China

机译:中国图书馆数据素养教育热点研究趋势的定量分析

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With the amount of papers from 2008-2017 year in China, which retrieved by terms of "data literacy education" and "library", this paper applies metabolic GM(1,1) forecasting model to explore variation trend of the hot-spot in the big data era. The result indicates that the proportion of paper's amount based on "data literacy education" to total refers to "library", keeps ever-increasing in the ration of 39.22% since 2015.
机译:随着“数据扫盲教育”和“图书馆”所检测到的中国2008-2017年的纸张数量,本文采用代谢通用(1,1)预测模型来探讨热点的变化趋势大数据时代。结果表明,根据“数据识字教育”的纸额比例为“图书馆”,以自2015年以来的比例持续39.22%。

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