Mobile edge computing: A survey, IEEE Internet of Things Journal PP, issue.99, pp.1-1, 2017. ,
, Youtube-8m: A large-scale video classification benchmark, 2016.
Technologies for 5g networks: Challenges and opportunities, IT Professional, vol.19, issue.1, pp.12-20, 2017. ,
A complexity-invariant distance measure for time series, Proceedings of the 2011 SIAM international conference on data mining, pp.699-710, 2011. ,
Using adaptive bagging to debias regressions, Statistics Dept. UCB, 1999. ,
Classification and regression trees, 1984. ,
Boosting Algorithms: Regularization, Prediction and Model Fitting, Statistical Science, vol.22, issue.4, pp.477-505, 2007. ,
, Ericsson Mobility Report. White paper, 2018.
, Recurrent neural networks for multivariate time series with missing values, 2016.
, On the properties of neural machine translation: Encoder-decoder approaches, 2014.
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling, pp.1-9, 2014. ,
Optimal combination of survey forecasts, International Journal of Forecasting, vol.31, issue.4, pp.1096-1103, 2015. ,
A short introduction to boosting, Journal-Japanese Society For Artificial Intelligence, vol.14, p.1612, 1999. ,
A desicion-theoretic generalization of on-line learning and an application to boosting, European conference on computational learning theory, pp.23-37, 1995. ,
Greedy function approximation: a gradient boosting machine, Annals of statistics, pp.1189-1232, 2001. ,
Stochastic gradient boosting, Computational Statistics & Data Analysis, vol.38, issue.4, pp.367-378, 2002. ,
Forecasting trends in time series, Management Science, vol.31, issue.10, pp.1237-1246, 1985. ,
Popularity prediction in content delivery networks, Personal, Indoor, and Mobile Radio Communications (PIMRC), pp.2083-2088, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01244908
Arma based popularity prediction for caching in content delivery networks, Wireless Days, pp.113-120, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01636975
Neural network models for time series forecasts, Management science, vol.42, issue.7, pp.1082-1092, 1996. ,
Random decision forests, Proceedings of the Third International Conference on, vol.1, pp.278-282, 1995. ,
Long short-term memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997. ,
Minimum pearson distance detection for multilevel channels with gain and/or offset mismatch, IEEE Transactions on Information Theory, vol.60, issue.10, pp.5966-5974, 2014. ,
Forecast and methodology, 2016. ,
Recommendation systems: Principles, methods and evaluation, Egyptian Informatics Journal, vol.16, issue.3, pp.261-273, 2015. ,
An exploratory technique for investigating large quantities of categorical data, Applied statistics, pp.119-127, 1980. ,
Exact indexing of dynamic time warping, Knowledge and information systems, vol.7, issue.3, pp.358-386, 2005. ,
Time-series extreme event forecasting with neural networks at uber, International Conference on Machine Learning, 2017. ,
Distance between sets, Nature, vol.234, issue.5323, p.34, 1971. ,
Hybrid neural networks over time series for trend forecasting, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, p.17, 2017. ,
A critical review of recurrent neural networks for sequence learning, 2015. ,
The detection of disease clustering and a generalized regression approach, Cancer Research, vol.27, issue.2, pp.209-220, 1967. ,
A Survey on Mobile Edge Computing: The Communication Perspective, IEEE Communications Surveys Tutorials, vol.19, issue.4, pp.2322-2358, 2017. ,
Tsclust: An r package for time series clustering, Journal of Statistical Software, vol.62, issue.1, pp.1-43, 2014. ,
A survey on the application of recurrent neural networks to statistical language modeling, Computer Speech & Language, vol.30, issue.1, pp.61-98, 2015. ,
,
Multimedia content popularity: Learning and recommending a prediction method, IEEE Global Communications Conference (Globecom), 2018. ,
Multimedia content popularity: Learning and recommending a prediction method, Proceedings of IEEE Global Communications Conference, 2018. ,
Induction of decision trees, Machine learning, vol.1, issue.1, pp.81-106, 1986. ,
C4. 5: programs for machine learning, 2014. ,
Dynamic programming algorithm optimization for spoken word recognition, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.26, issue.1, pp.43-49, 1978. ,
Measuring and testing dependence by correlation of distances. The annals of statistics pp, pp.2769-2794, 2007. ,
A survey on predicting the popularity of web content, Journal of Internet Services and Applications, vol.5, issue.1, pp.1-20, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01137930
Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing, Omega, vol.40, issue.6, pp.748-757, 2012. ,
Big data caching for networking: Moving from cloud to edge, IEEE Communications Magazine, vol.54, issue.9, pp.36-42, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01789330
Time series forecasting using a hybrid arima and neural network model, Neurocomputing, vol.50, pp.159-175, 2003. ,