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27 August 2020 Research on the Development of Marine Regional E-Commerce Based on the Analysis of Cloud Computing and Grey Prediction Method
Zhenzhong Zhang, Wei Sun, Yanliang Yu
Author Affiliations +
Abstract

Zhang, Z.Z.; Sun, W., and Yu, Y.L., 2020. Research on the development of marine regional e-commerce based on the analysis of cloud computing and grey prediction method. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 333-337. Coconut Creek (Florida), ISSN 0749-0208.

China's e-commerce is booming and has become the largest Internet market in the world. At the same time, with the development of cloud computing, Internet of things and other information technologies, the rapidly expanding data has brought mankind into the era of big data. It has become possible to use big data technology to analyze the development of e-commerce industry chain in Marine areas and provide corresponding guidance. Due to different regional economic development status, e-commerce infrastructure construction, regional residents' online shopping habits and other differences in the development level of regional e-commerce. Based on the grey system theory, this paper collects the variation data of Marine regional gross output value, and USES MATLAB software to predict the variation trend of the third-party e-commerce trading platform and create the idea of regional product integration service.

©Coastal Education and Research Foundation, Inc. 2020
Zhenzhong Zhang, Wei Sun, and Yanliang Yu "Research on the Development of Marine Regional E-Commerce Based on the Analysis of Cloud Computing and Grey Prediction Method," Journal of Coastal Research 115(sp1), 333-337, (27 August 2020). https://doi.org/10.2112/JCR-SI115-101.1
Received: 10 February 2020; Accepted: 21 May 2020; Published: 27 August 2020
KEYWORDS
big data
Cloud computing
development strategy
E-commerce
evaluation model
evaluation system
grey forecasting
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