Identifying the Dimensions of Data Science as a Space
文献类型：期刊论文
| 作者 | Huang,Ruxin1; Cai,Xinlin2; Liu,Yuhang3 |
| 刊名 | Journal of Physics: Conference Series
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 1616期号:1 |
| ISSN号 | 1742-6588 |
| DOI | 10.1088/1742-6596/1616/1/012043 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| WOS记录号 | IOP:1742-6588-1616-1-012043 |
| 出版者 | IOP Publishing |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/16144]  |
| 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). |
入库方式： OAI收割
来源：计算技术研究所
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