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- W2949634199 abstract "Through analyzing the mobile network data, the trajectories and network services of mobile users can be predicted accurately, then the predicting results can be used to optimize network resource configuration and provide excellent user experience. This paper first introduces the real data set collected in the mobile network. Then a method based on the second-order Markov model is proposed to predict the trajectories and network services of mobile users. Using the second-order Markov model to verify the real data, the average accuracy of trajectory prediction is about 77% and the average accuracy of network services prediction is about 73%. The experimental results show that the proposed method can predict the trajectories and network services of mobile users based on the real data set." @default.
- W2949634199 created "2019-06-27" @default.
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- W2949634199 date "2019-03-01" @default.
- W2949634199 modified "2023-09-26" @default.
- W2949634199 title "Trajectories and Network Services Prediction of Mobile Users Based on Real Data" @default.
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- W2949634199 doi "https://doi.org/10.1109/itnec.2019.8729190" @default.
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