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Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM
3 references·3 citing·25 second hop
Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM (2016)Mobile Network Traffic Prediction Using M…Big Data: A Survey (2014)Big Data: A SurveyThe Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation (2023)Forecasting Network Traffic: …An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks (2023)An optimized hybrid methodolo…A comprehensive research on exponential smoothing methods in modeling and forecasting cellular traffic (2019)A comprehensive research on e…Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Predicting future locations with hidden Markov models (2012)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)An overview of business intelligence technology (2011)Big data: The next frontier for innovation, competition, and productivity (2011)Big data: a revolution that will transform how we live, work, and think (2013)A survey of machine learning for big data processing (2016)Critical analysis of Big Data challenges and analytical methods (2016)Big Data technologies: A survey (2017)Forecasting and Time Series: An Applied Approach (1994)A state space framework for automatic forecasting using exponential smoothing methods (2002)Traffic prediction for mobile network using Holt-Winter’s exponential smoothing (2007)Introduction to Time Series and Forecasting (2002)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)M5 accuracy competition: Results, findings, and conclusions (2022)A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy (2025)Grey Wolf optimisation‐based feature selection and classification for facial emotion recognition (2018)PREDICTING HOUSING SALES IN TURKEY USING ARIMA, LSTM AND HYBRID MODELS (2019)Forecasting Tourist Daily Arrivals With A Hybrid Sarima–Lstm Approach (2020)Beyond the hype: Big data concepts, methods, and analytics (2014)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
this work references cited by second hop

References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2014Big Data: A Survey2,909 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited

Cited by

  • 2023Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation96 cited
  • 2023An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks45 cited
  • 2019A comprehensive research on exponential smoothing methods in modeling and forecasting cellular traffic32 cited

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