Abstract
With the development of information technology, big data technology is more and more widely used in management. As an important tool, information system plays a vital role in the construction of enterprise informatization. Refined management is a more meticulous management method in the information system, which has a substantial role in promoting the sustainable development of enterprises. Therefore, this article is based on big data technology to explore the fine management in the information system. First, the detailed content of big data technology and its impact on refined management are explained. Then, a refined management framework based on big data technology is designed and established, and various aspects of it are tested. Finally, the test results show that the weight index of the system will gradually increase after C2, indicating that its operation level is rising steadily.
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References
Chen, X., Metawa, N.: Enterprise financial management information system based on cloud computing in big data environment. J. Intell. Fuzzy Syst. 39(1), 1–10 (2020)
Ye, Z., Zheng, J., Tu, R.: Network evolution analysis of e-business entrepreneurship: big data analysis based on Taobao intelligent information system. IseB 18(4), 665–679 (2018). https://doi.org/10.1007/s10257-018-0390-2
Chen, J., Lv, Z., Song, H.: Design of personnel big data management system based on blockchain. Future Gener. Comput. Syst. 101(Dec), 1122–1129 (2019)
Jian, Z.: Research on the data mining technology in college students’ attendance system based on the big data architecture. In: Xu, Z., Choo, K.-K., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds.) CSIA 2019. AISC, vol. 928, pp. 162–167. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-15235-2_25
Ma, Y., Wang, Y., Yang, J., et al.: Big health application system based on health Internet of Things and Big Data. IEEE Access 5, 7885–7897 (2017)
Li, H.: Application of data mining technology in hospital management information system. The application practice of data mining technology in the hospital management information system. Digit. Technol. Appl. 000(009), 228–229 (2017)
Liu, Z., Zhang, L.: Research on application of big data in railway maintenance management system. Application of big data in railway engineering management system. Enterp. Technol. Dev. (Acad. Ed.) 037(008), 112–114,132 (2018)
Liu, S., Qiao, L., Liu, Y., et al.: Enterprise information security evaluation system based on big data. IPPTA: Q. J. Indian Pulp Paper Tech. Assoc. 30(8), 328–335 (2018)
Zhang, H.: Study on the application of the intelligent environmental information system in the government environment management based on cloud computing core technology. Boletin Tecnico/Tech. Bull. 55(19), 370–376 (2017)
Lv, X., Li, M.: Application and research of the intelligent management system based on Internet of Things technology in the era of Big Data. Mob. Inf. Syst. 2021(16), 1–6 (2021)
Yi, Z.: The application of clustering in customer management based on big data. IPPTA: Q. J. Indian Pulp Paper Tech. Assoc. 30(8), 718–722 (2018)
Zhao, J., Wang, J.: A design of college ideological and political education management system based on data mining technology. Revista de la Facultad de Ingenieria 32(14), 73–78 (2017)
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Chai, C., Liu, T., Zhang, H. (2022). Application of Information System Based on Big Data Technology in Fine Management. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_47
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DOI: https://doi.org/10.1007/978-3-030-89508-2_47
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