A Co-word Analysis of the Applications of Machine Learning in China
DOI: 10.23977/jaip.2020.030106 | Downloads: 22 | Views: 2221
Author(s)
Chen Fei 1
Affiliation(s)
1 Business School, Shandong University of Technology, Zibo, Shandong, 255000
Corresponding Author
Chen FeiABSTRACT
With the rapid development of technology, the influence of artificial intelligence on various industries is increasing. As one of the realization methods of artificial intelligence, machine learning has also received more and more attention and has been applied in many fields. This article was screened on CNKI, and obtained 4057 documents on machine learning applications from January 1, 2015 to December 31, 2019. Through co-word analysis of the keywords of the documents and further Based on statistical analysis, we have obtained 7 themes that are mainly used in machine learning at the moment, and explained these 7 themes.
KEYWORDS
Co-word analysis, Cluster analysis, Machine learningCITE THIS PAPER
Chen Fei. A Co-word Analysis of the Applications of Machine Learning in China. Journal of Artificial Intelligence Practice (2020) Vol. 3: 31-37. DOI: http://dx.doi.org/10.23977/jaip.2020.030106.
REFERENCES
[1] Makawana, P. R., & Jhaveri, R. H. (2018). A Bibliometric Analysis of Recent Research on Machine Learning for Cyber Security. In Y. C. Hu, S. Tiwari, K. K. Mishra, & M. C. Trivedi (Eds.), Intelligent Communication and Computational Technologies (Vol. 19, pp. 213-226).
[2] El-Alfy, E. M., & Mohammed, S. A. A review of machine learning for big data analytics: bibliometric approach. Technology Analysis & Strategic Management.
[3] Whittaker, J., Courtial, J. P., & Law, J. (1989). CREATIVITY AND CONFORMITY IN SCIENCE - TITLES, KEYWORDS AND CO-WORD ANALYSIS. Social Studies of Science, 19 (3), 473-496.
[4] Cobo, M. J., Chiclana, F., Collop, A., de Ona, J., & Herrera-Viedma, E. (2014). A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping. IEEE Transactions on Intelligent Transportation Systems, 15 (2), 901-908.
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