Research Hotspots and Path Evolution of Machine Learning in the Context of Big Data: Visual Analysis based on CiteSpace

  • Yuzan Dai, Chengke Zhu, Wei Li

Abstract

With the further development of big data, there are more and more integration of of big data and machine learning. In this paper, CiteSpace is used to analyze the research hotspots and path evolution of machine learning in the context of big data. Taking big data and machine learning as keywords, the web of science database was searched, and a total of 4628 literature were obtained. Then, the research status of machine learning is analyzed through the number of articles published, author co-occurrence analysis, country co-occurrence analysis, institution co-occurrence analysis, journal co-citation analysis, etc., and the research hot spots and future research directions in this field are studied through keyword atlas and clustering.

How to Cite
Yuzan Dai, Chengke Zhu, Wei Li. (1). Research Hotspots and Path Evolution of Machine Learning in the Context of Big Data: Visual Analysis based on CiteSpace. Forest Chemicals Review, 452-465. Retrieved from http://www.forestchemicalsreview.com/index.php/JFCR/article/view/370
Section
Articles