Abstract
The optimization of mobile communication network is an important means to achieve network security operation, and network prediction is the premise of network optimization. Therefore, in mobile network optimization, network prediction and network optimization are two parts that are inseparable. Traditional network prediction and optimization methods can not adapt to the complexity of today’s social networks. In order to adapt the network prediction and optimization methods to the complexity of today’s social networks, the application of big data mining in mobile network prediction and optimization is proposed. The results show that the results obtained by big data mining technology are closer to the true value than the conventional method. Finally, it can be concluded that big data mining has important application value in mobile communication network prediction and optimization, and can achieve better precision and efficiency in the prediction and optimization of mobile communication networks.
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This article is funded by the College Students’ Innovation and Entrepreneurship Training Program (national level).
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Sun, Z., Dong, J. (2020). Application of Big Data Mining in Prediction and Optimization of Mobile Communication Networks. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_125
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DOI: https://doi.org/10.1007/978-981-15-3250-4_125
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