Predicting the subscribers of fixed-line and cellular phone in Japan by a novel prediction model
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DOI: 10.1016/j.techfore.2013.05.004
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References listed on IDEAS
- Zhao, Ze & Wang, Jianzhou & Zhao, Jing & Su, Zhongyue, 2012. "Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China," Omega, Elsevier, vol. 40(5), pages 525-532.
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- Liu, Zhenkun & Jiang, Ping & De Bock, Koen W. & Wang, Jianzhou & Zhang, Lifang & Niu, Xinsong, 2024. "Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Li, Guo-Dong & Masuda, Shiro & Nagai, Masatake, 2014. "The prediction for Japan's domestic and overseas automobile production," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 224-231.
- Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
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Keywords
Telecommunications industry prediction; Grey prediction model; Cubic spline function; Particle swarm optimization algorithm;All these keywords.
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