B。“data mining”是“数据挖掘”,指从大量数据中分析并提取有用信息(analyzing and extracting useful information from large amounts of data);“collecting data randomly”是“随机收集数据”;“storing data in a specific way”是“以特定方式存储数据”;“deleting unnecessary data”是“删除不必要的数据”。
a great deal C. a huge amount D. a great variety 相关知识点: 试题来源: 解析 C。a huge amount of 修饰不可数名词,information 是不可数名词。a large number of 修饰可数名词复数;a great deal 修饰不可数名词,但后面要加 of;a great variety of 修饰可数名词复数。反馈 收藏 ...
In this article, after a short historical prolog, it is discussed what distinguishes big data from traditional data analysis. The underlying mathematical methods are introduced and scientific successes are reported. Additionally, the risks and limits – especially regarding the derivation of causal ...
Government information policy in the era of big data[ J] . Review of Policy Research,2014,31(4) :319 - 325. Washington A. L. (2014): Government Information Policy in the Era of Big Data. Review of Policy Research 31, pp. 319-325....
McFarland DA, Lewis K, Goldberg A (2016) Sociology in the era of Big Data: the ascent of forensic social science. Am Sociol 47(1):12-35McFarland, Daniel A.; Lewis, Kevin; Goldberg, Amir (2016): Sociology in the Era of Big Data: The Ascent of Forensic Social Science. In: The ...
In the era of big data, we need to analyze large amounts of information ___. A. thoroughly B. approximately C. randomly D. occasionally 相关知识点: 试题来源: 解析 A。thoroughly 意为“彻底地、完全地”;approximately 意为“大约、近似地”;randomly 意为“随机地、任意地”;occasionally 意为“...
A. privacy protection B. data collection C. technology innovation D. economic growth 相关知识点: 试题来源: 解析 A。本题考查词汇理解。在大数据时代隐私保护的重要性不能被忽视。选项 B“data collection”数据收集;选项 C“technology innovation”技术创新;选项 D“economic growth”经济增长,均不是题干强调...
Internet Celebrity Economy in the Era of Big Data Tianhao Xiong(B) University of Wisconsin Oshkosho, Oshkosh, WI, USA xiongti70@uwosh.edu Abstract. With the wide application of the Internet, mankind has entered the "big data era". Analyzing data has become a necessity in every industry. ...
The big data era is characterised not only by the very large quantity of data that is being generated but also by the depth of detail the data contain and the ability of researchers to rapidly transmit, link and analyse the data. In this context, perennial ethical concerns such as obtaining...
The late nineties, when I graduated, was a good time to be a statistician. The first wave of new data, the sequenced human genome, had just arrived. Suddenly biologists were inundated with enormous quantities of data, of a type that had never been studied before. This opened up the possib...