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标准大数据实践(4)--可视化展现
引用本文:甘克勤,于钢. 标准大数据实践(4)--可视化展现[J]. 标准科学, 2016, 0(4). DOI: 10.3969/j.issn.1674-5698.2016.04.004
作者姓名:甘克勤  于钢
作者单位:中国标准化研究院
摘    要:大数据的分析过程离不开机器和人的相互协作与优势互补,一方面从机器角度出发,需要研究数据挖掘,一方面从人的分析出发,需要研究人的认知规律,其中大数据的可视化分析为重要的分析方法。本文首先探讨了大数据可视化的基本概念,在此基础上,结合标准文本分析的特点,选择了文本可视化、网络图可视化以及时空可视化作为标准大数据可视化分析的研究重点,并选择热词分析、起草人和起草单位网络关系以及起草单位分布图作为试点,实践了标准大数据的可视化。

关 键 词:标准  大数据  可视化

Practice of Big Data on Standard(Part D)--Visual Display
Abstract:Big data analysis process depends on the interaction and advantage complementary of the machine and human. On the one hand, the data mining is studied from the angle of the machine; on the other hand, the human cognitive law is studied from the point of people’s analysis, and the big data visualization analysis is an important analysis method. This paper firstly discusses the basic concept of data visualization. On this basis, it selects the text visualization, network diagram visualization and visualization of time and space as standard data visualization analysis research, combined with the characteristics of standard text analysis. Finally, it chooses the analysis of the hot word, drafters and drafting unit network relations as well as drafting unit distribution to practice the standard big data visualization.
Keywords:standard  big data  visualization
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