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Application of Big Data Analysis Technology in E-commerce Data Analysis

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

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Abstract

Big data analysis technology is a universal technology, which can be applied in many fields to provide data analysis services for related business work, including e-commerce data analysis. It can be used to analyze the data structure, analyze the data structure, and display the data structure It is difficult to do this in artificial data analysis. In order to understand how big data analysis technology should be applied in e-commerce data analysis, this paper will carry out research, first define the relevant concepts, then carry out system design, and finally apply the system to an e-commerce enterprise to analyze its supply and demand data, and verify whether the system is effective.

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References

  1. Malhotra, D., Rishi, O.P.: An intelligent approach to design of E-Commerce metasearch and ranking system using next-generation big data analytics. J. King Saud Univ.-Comput. Inf. Sci. S1319157817303440 (2018)

    Google Scholar 

  2. Chen, H.: Personalized recommendation system of e-commerce based on big data analysis. J. Interdisc. Math. 21(5), 1243–1247 (2018)

    Article  Google Scholar 

  3. Haitao, S.: Big data analysis of e-commerce loan risk of college students in the context of network finance. Inf. Syst. e-Bus. Manag. 18, 1–16 (2019)

    Google Scholar 

  4. Zhao, W., Zhang, H.T.: E-commerce recommendation system based on cloud computing. Adv. Mater. Res. 926–930, 2570–2573 (2014)

    Article  Google Scholar 

  5. Su, X.: Analysis of the development prospects of rural tourism e-commerce system under the background of big data. Revista de la Facultad de Ingenieria 32(9), 492–499 (2017)

    Google Scholar 

  6. Tang, M., Wu, Z.: Research on the mechanisms of big data on consumer behavior using the models of C2C e-commerce and countermeasures. Afr. J. Bus. Manag. 9(1), 18–34 (2015)

    Article  Google Scholar 

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Authors and Affiliations

  1. Guangdong University of Science and Technology, Dongguan, 523083, China

    Bing Wang

Authors
  1. Bing Wang
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Correspondence to Bing Wang .

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Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Wang, B. (2021). Application of Big Data Analysis Technology in E-commerce Data Analysis. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_69

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