Abstract
With the continuous development of science and technology in China, the concept of big data has gradually entered all walks of life and become an important scientific and technological force for industry transformation in China. Based on the background of big data development in China, this paper explores the formation conditions and evolutionary principles of big data in the drainage project, and designs and implements the front-end data interaction module, as well as the flow user data storage and analysis module based on the establishment of BDP large data flow management system model of telecom operators. The discussion in this paper will not only provide ideas for traditional operator flow management, but also provide guidance for big data applications in most other industries.
Work described in this paper was funded by the National Natural Science Foundation of China under Grant No. 71671093. The authors would like to thank other researchers at Nanjing University of Posts and Telecommunications.
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References
Spiekermann, S., Novotny, A.: A vision for global privacy bridges: technical and legal measures for international data markets. Comput. Law Secur. Rev. 31(2), 181–200 (2015)
Wu, X., Zhu, X., Wu, G., et al.: Data mining with big data. IEEE Trans. Knowl. Data Eng. 26(1), 97–107 (2014)
Wamba, S.F., Akter, S., Edwards, A.D., et al.: How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study. Int. J. Prod. Econ. 165, 234–246 (2015)
Chen, H., Chiang, R.H., Storey, V.C., et al.: Business intelligence and analytics: from big data to big impact. Manag. Inf. Syst. Q. 36(4), 1165–1188 (2012)
Li, Z.Q., Chen, K., Wu, Y.W., Zheng, W.M.: Big data processing mode-system architecture, method and develop trend. J. Chin. Comput. Syst. 36(4), 641–647 (2015)
Liu, L.Z., Deng, J.Y., Wu, Y.T.: Research on multi-class logistic regression algorithm based on hbase. Appl. Res. Comput. 10, 1–3 (2018)
Zhang, H.P., He, H.Y., Chen, X.J.: Simulation of optimum identification in hierarchical classification of big data. Comput. Simul. 32(10), 463–466 (2015)
Aisha, S., Ahmad, K., Abdullah, G.: BusiOverview of big data storage technologies. Front. Inf. Technol. Electr. Eng. 18(8), 1041–1072 (2017)
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Wang, F., Huang, W., Xu, Y. (2018). Research on Telecom Flow Operation Based on User Profile. In: Chen, X., Sen, A., Li, W., Thai, M. (eds) Computational Data and Social Networks. CSoNet 2018. Lecture Notes in Computer Science(), vol 11280. Springer, Cham. https://doi.org/10.1007/978-3-030-04648-4_40
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DOI: https://doi.org/10.1007/978-3-030-04648-4_40
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