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Application Research of Computer Data Mining Technology in the Field of Electronic Commerce

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DOI: 10.23977/acss.2023.070508 | Downloads: 21 | Views: 376

Author(s)

Ren Xingxue 1,2, Wang Qianqian 1

Affiliation(s)

1 Henan Vocational University of Science and Technology, Zhoukou, Henan, China
2 Henan Inland Port Logistics Information Engineering Technology Research Center, Zhoukou, Henan, China

Corresponding Author

Ren Xingxue

ABSTRACT

With the continuous development of modern science and technology and the wide application of Internet science and technology, People's Daily life and work have begun to become more convenient. In addition, the era of big data has also created reform opportunities for the development of e-commerce. From the perspective of the development of e-commerce enterprises, the application of computer data mining technology is mainly to extract valuable information from the existing data and conduct an in-depth analysis of it. Nowadays, the main problem facing the field of e-commerce is how to use computer data mining technology to improve the transaction rate of e-commerce enterprises and explore the potential hidden value of data resources. In order to make e-commerce enterprises experience customized services, it is necessary to clarify the specific development direction and development advantages of e-commerce, and use computer data tile and mining technology to promote the technological innovation of enterprises, so as to accurately predict the future development prospects. In this paper, we will analyze the connotation of the computer data mining technology and its application mode in the field of e-commerce, and put forward the specific application of the data mining technology.

KEYWORDS

E-commerce field; computer data mining technology; sequence pattern; marketing

CITE THIS PAPER

Ren Xingxue, Wang Qianqian. Application Research of Computer Data Mining Technology in the Field of Electronic Commerce. Advances in Computer, Signals and Systems (2023) Vol. 7: 46-51. DOI: http://dx.doi.org/10.23977/acss.2023.070508.

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