Research on the Data Mining Tools and Algorithms of Cross-Border e-Commerce under the Atmosphere of the International Epidemic
DOI: 10.23977/acss.2021.050112 | Downloads: 40 | Views: 1264
Author(s)
Guangyu Xing 1
Affiliation(s)
1 Shandong Vocational and Technical University of International Studies, Rizhao, 276826, Shandong, China
Corresponding Author
Guangyu XingABSTRACT
China's cross-border e-commerce industry has developed rapidly, sales have risen steadily, policies and policies have been continuously introduced, e-commerce consumption mode has been continuously optimized, and logistics facilities are increasingly perfect. However, under the impact of the COVID-19 epidemic, the cross-border e-commerce industry has broken out with problems such as the industrial chain interruption, poor logistics chain, broken capital chain and insufficient talent export. In view of the challenges and opportunities faced by China's cross-border e-commerce industry under the impact of the epidemic, this paper analyzes the application of data mining tools and algorithms in cross-border e-commerce, aiming to provide certain help for the development of cross-border e-commerce under the international epidemic atmosphere.
KEYWORDS
Epidemic, Cross-border, E-commerce, Data miningCITE THIS PAPER
Guangyu Xing. Research on the Data Mining Tools and Algorithms of Cross-Border e-Commerce under the Atmosphere of the International Epidemic. Advances in Computer, Signals and Systems (2021) 5: 75-80. DOI: http://dx.doi.org/10.23977/acss.2021.050112.
REFERENCES
[1] Zhao Chenxu, Cui Qiang. New situation of in-depth development of Chinese cross-border e-commerce [J].Cooperative Economy and Technology, 2020 (5).
[2] Lee Springs. Countermeasures on Countermeasures of Cross-border E-commerce for Small and Medium-sized Enterprises in the Era of Big Data [J].Journal of Yan'an Vocational and Technical College, January 31,2017 (2).
[3] Dai Minghua, Ma Xiaolu, Fan Xiaonan. Research on Cross-border E-commerce Development Mode under the context of big data [J].E-commerce, 2017 (5).
[4] Hu Jinyan. Development model of cross-border e-commerce in the context of big data [J].Statistics and Management, 2018 (7).
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