C. V. Index, Global mobile data trac forecast update, White Paper, pp.2015-2020, 2016.

E. Mucelli and A. C. Viana, From routine to network deployment for data ooading in metropolitan areas, IEEE SECON 2014, pp.126-134, 2014.

F. Qian, K. S. Quah, J. Huang, J. Erman, A. Gerber et al., Web caching on smartphones, Proceedings of the 10th international conference on Mobile systems, applications, and services, MobiSys '12, pp.127-140, 2012.
DOI : 10.1145/2307636.2307649

A. Finamore, M. Mellia, Z. Gilani, K. Papagiannaki, V. Erramilli et al., Is there a case for mobile phone content pre-staging?, Proceedings of the ninth ACM conference on Emerging networking experiments and technologies, CoNEXT '13, pp.321-326, 2013.
DOI : 10.1145/2535372.2535414

S. Ha, S. Sen, C. Joe-wong, Y. Im, and M. Chiang, TUBE, ACM SIGCOMM Computer Communication Review, vol.42, issue.4, pp.247-258, 2012.
DOI : 10.1145/2377677.2377723

URL : https://hal.archives-ouvertes.fr/in2p3-00706865

R. Becker, R. Cáceres, K. Hanson, S. Isaacman, J. M. Loh et al., Human mobility characterization from cellular network data, Communications of the ACM, vol.56, issue.1, pp.74-82, 2013.
DOI : 10.1145/2398356.2398375

X. Zhou, Z. Zhao, R. Li, Y. Zhou, and H. Zhang, The predictability of cellular networks trac, IEEE ISCIT 2012, pp.973-978, 2012.

R. Li, Z. Zhao, X. Zhou, J. Palicot, and H. Zhang, The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice, IEEE Communications Magazine, vol.52, issue.6, pp.234-240, 2014.
DOI : 10.1109/MCOM.2014.6829969

URL : https://hal.archives-ouvertes.fr/hal-01073344

E. Mucelli-rezende, A. Oliveira, K. Viana, C. Naveen, and . Sarraute, Measurement-driven mobile data trac modeling in a large metropolitan area, IEEE PerCom 2015, pp.230-235, 2015.

H. H. Jo, M. Karsai, J. Karikoski, and K. Kaski, Spatiotemporal correlations of handset-based service usages, EPJ Data Science, vol.27, issue.3, pp.1-18, 2012.
DOI : 10.1140/epjds10

D. Naboulsi, M. Fiore, S. Ribot, and R. Stanica, Large-scale Mobile Trac Analysis: a Survey, IEEE Communications Surveys & Tutorials, vol.PP, issue.99, pp.1-1, 2015.

C. Song, Z. Qu, N. Blumm, and A. Barabási, Limits of Predictability in Human Mobility, Science, vol.327, issue.5968, pp.1018-1021, 2010.
DOI : 10.1126/science.1177170

C. Song, Z. Qu, N. Blumm, and A. Barabási, Limits of Predictability in Human Mobility Supplementary Material, Science Online

J. Wang, Y. Mao, J. Li, Z. Xiong, and W. Wang, Predictability of Road Trac and Congestion in Urban Areas, PloS one, vol.10, issue.4, p.121825, 2015.

M. Ficek and L. Kencl, Inter-Call Mobility model: A spatio-temporal refinement of Call Data Records using a Gaussian mixture model, 2012 Proceedings IEEE INFOCOM, pp.469-477, 2012.
DOI : 10.1109/INFCOM.2012.6195786

S. Hoteit, S. Secci, S. Sobolevsky, G. Pujolle, and C. Ratti, Estimating Real Human Trajectories through Mobile Phone Data, 2013 IEEE 14th International Conference on Mobile Data Management, pp.148-153, 2013.
DOI : 10.1109/MDM.2013.85

URL : https://hal.archives-ouvertes.fr/hal-01131515

K. S. Kung, K. Greco, S. Sobolevsky, and C. Ratti, Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data, PLoS ONE, vol.2, issue.6, p.96180, 2014.
DOI : 10.1371/journal.pone.0096180.s004

S. Phithakkitnukoon, Z. Smoreda, and P. Olivier, Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data, PLoS ONE, vol.33, issue.6, 2011.
DOI : 10.1371/journal.pone.0039253.s010

M. Ankerst, M. M. Breunig, H. Kriegel, and J. Sander, Optics: ordering points to identify the clustering structure, ACM Sigmod Record, pp.49-60, 1999.

M. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Kdd, vol.96, pp.226-231, 1996.