Big Data Analytics in the E-commerce Retail Industry

Authors

  • Weiwei Cheng Logistics and Trade College, Xi’an Eurasia University, Xi’an, Shaanxi 710065, China
  • Jing Wang Logistics and Trade College, Xi’an Eurasia University, Xi’an, Shaanxi 710065, China

Abstract

The rapid development of e-commerce retailing has led to a sharp increase in the amount of information being generated, which results in an abundance of data. From this huge volume of data, much important knowledge can be extracted, particularly in regard to consumers’ preferences and buying habits. Therefore, a new generation of technologies and tools is needed to conduct comprehensive and higher-level analysis of massive amounts of data, to facilitate inductive reasoning, to extract potential patterns, and to extract useful knowledge. Starting from the perspective of data mining, this paper combines e-commerce data rules and network analysis to analyze e-commerce clustering points and obtain corresponding results. Studies have shown that the method proposed in this study is effective.

Keywords: big data; data mining; e-commerce; retail; cluster analysis

Cite As

W. Cheng, J. Wang, "Big Data Analytics in the E-commerce Retail Industry", Engineering Intelligent
Systems, vol. 27 no. 4, pp. 177-184, 2019.







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Published

2019-12-01

Issue

Vol. 27 No. 4 (2019): International Journal of Engineering Intelligent Systems

Section

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