国际数据科学知识来源与研究热点分析

Analysis of Knowledge Sources and Research Hotspots of Data Science Abroad

数据科学是一个蓬勃发展的新兴研究领域。解读国际数据科学的知识来源及研究热点,对促进数据科学的创新发展具有导向作用。以Web of Science核心合集收录的论文为来源,利用可视化分析、内容分析等方法,客观地揭示和解释国际数据科学研究动态。研究表明:国际数据科学知识来源于计算机科学与通信、管理与信息系统以及理工类学科等3大知识群,研究热点主要集中于大数据理论及应用、机器学习、数据挖掘、数据分析学等4大领域。

Data science is an emerging research field in recent years. The interpretation of knowledge sources and research hotspots of data science plays an important role in promoting the innovative research. The dataset is collected from the Web of Science（ WOS） core collection. This study uses the methods of visualization and content analysis, reveals and interprets the current state of international data science research from two perspectives. The result shows that the basic knowledge of data science roots in three knowledge groups,including computer science and communication,management and information system,and polytechnic sciences. The research hotspots mainly focus on four domains,including big data theory and application,machine learning,data mining,and data analytics.