Identifying the Dimensions of Data Science as a Space

doi:10.1088/1742-6596/1616/1/012043

	Identifying the Dimensions of Data Science as a Space
	Huang,Ruxin 1; Cai,Xinlin 2; Liu,Yuhang 3
	2020-08-01
发表期刊	Journal of Physics: Conference Series
ISSN	1742-6588
卷号	1616 期号:1
摘要	Abstract An increasing number of data with great potential value are produced continuously, which exceeds the capacity of the existing computing system and promotes the generation of new basic theories about big data and its processing. Such problems as the relationship between big data and small data and that between big data and the existing scientific system need to be accurately solved by the academic circle through the establishment of data science. However, data science is still in its infancy and the basic dimensions of data science need to be identified. In this paper, five categories demanding for establishment of data science are summarized. A new way to understand big data that gives the most important speculation and research object of data science from a global perspective is developed.
DOI	10.1088/1742-6596/1616/1/012043
语种	英语
WOS记录号	IOP:1742-6588-1616-1-012043
出版者	IOP Publishing
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/16145
专题	中国科学院计算技术研究所期刊论文_英文
作者单位	1.Parkway Central High School, Missouri, US 2.University of California, Los Angeles, US 3.Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Huang,Ruxin,Cai,Xinlin,Liu,Yuhang. Identifying the Dimensions of Data Science as a Space[J]. Journal of Physics: Conference Series,2020,1616(1).
APA	Huang,Ruxin,Cai,Xinlin,&Liu,Yuhang.(2020).Identifying the Dimensions of Data Science as a Space.Journal of Physics: Conference Series,1616(1).
MLA	Huang,Ruxin,et al."Identifying the Dimensions of Data Science as a Space".Journal of Physics: Conference Series 1616.1(2020).