摘要
人们的日常生活越来越多地依赖于数据,从GPS定位到网上购物,研究和探索数据的工作变得十分重要。数据科学作为以分析数据为中心的学科分支,得到了科技界更多的重视,同时探索数据科学会为该学科发展的轨迹以及未来的发展提供更有用的信息和指导作用。通过检索SCOPUS文来源国家以及论文来源机构等角度对文献进行分析研究,运用统计学的方法和技巧,借助R语言、SAS软件,对数据科学相关文献的分布及发展进行多方面的研究。解析该领域的研究现状和发展趋势,以期对数据科学研究的深入开展和未来大数据的发展提供参考信息。
Daily life of the modern society more and more relies on data,from GPS positioning to online shopping.Therefore,exploration and understanding of data usage become an important research topic.As a disciplines centered on analyzing data,data science has received more attention from the scientific and technological communities.In the meantime,exploring the growing patterns of data science will provide more insights and guidance for the development of the discipline and its future growths.Based on searching results of data science publications in SCOPUS database,bibliometric methods are used to analyze publication outputs,countries of origins of publications,author institutions.Utilizing statistical methods and techniques,and deploying R language and SAS software,a variety of research on the distribution and the development of data science related publications are conducted.The study reveals the statuses and the developing trends of data science,and thus provides in-depth information for the future development of data science and big data.
作者
曹瑞雪
马英红
李海洋
于青林
CAO Ruixue;MA Yinghong;LI Haiyang;YU Qinglin(School of Science,Xi'an Polytechnic University,Xi'an 710048;School of Management,Shandong Normal University,Jinan 250014;School of Science,Thompson Rivers University,Canada)
出处
《计算机与数字工程》
2019年第4期737-742,755,共7页
Computer & Digital Engineering
基金
国家自然科学基金面上项目(编号:71471106
11271297)
陕西省海外百人计划资助
关键词
数据科学
文献计量学
趋势
拟合
预测
聚类分析
data science
bibliometrics
trend
data correlation
forecasting
clustering