. Cisco, Cisco visual networking index: Global mobile data traffic forecast update, pp.2013-2018, 2013.

E. M. Oliveira and A. C. Viana, From routine to network deployment for data offloading in metropolitan areas, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), p.755
DOI : 10.1109/SAHCN.2014.6990335
URL : https://hal.archives-ouvertes.fr/hal-00931786

J. Candia, M. Gonzalez, P. Wang, T. Schoenharl, G. Madey et al., Uncovering individual and collective human dynamics from mobile phone records, Journal of Physics A: Mathematical and Theoretical, vol.41, issue.22
DOI : 10.1088/1751-8113/41/22/224015
URL : http://arxiv.org/abs/0710.2939

R. Becker, R. Caceres, K. Hanson, J. Loh, S. Urbanek et al., A Tale of One City: Using Cellular Network Data for Urban Planning, IEEE Pervasive Computing, vol.10, issue.4, pp.18-26, 2011.
DOI : 10.1109/MPRV.2011.44

J. Wortham, Cellphones now used more for data than for calls

D. Naboulsi, R. Stanica, and M. Fiore, Classifying call profiles in large-scale mobile traffic datasets, IEEE INFOCOM 2014, IEEE Conference on Computer Communications, 2014.
DOI : 10.1109/INFOCOM.2014.6848119
URL : https://hal.archives-ouvertes.fr/hal-01005050

A. Pawling, N. V. Chawla, and G. Madey, Anomaly detection in a mobile communication network, Computational and Mathematical Organization Theory, vol.22, issue.4, pp.407-422, 2007.
DOI : 10.1007/s10588-007-9018-7

S. Hoteit, S. Secci, Z. He, C. Ziemlicki, Z. Smoreda et al., Content consumption cartography of the paris urban region using cellular probe data, Proceedings of the first workshop on Urban networking, UrbaNe '12, 2012.
DOI : 10.1145/2413236.2413246
URL : https://hal.archives-ouvertes.fr/hal-01131516

C. W. Abidogun, A self organizing maps model for outlier detection in call data from mobile telecommunication networks, Proc. of the Southern Africa Telecommunication Networks and Applications Conference 770 (SATNAC), 2004.

R. A. Becker, R. Cceres, K. Hanson, J. M. Loh, S. Urbanek et al., Clustering anonymized mobile call detail records to find usage groups, Pervasive and Urban Applications (PURBA), 2011.

A. Stoica, Z. Smoreda, C. Prieur, J. A. Guillaume, A. Mehrotra et al., NetMob 2010 Workshop on the Analysis of Mobile Phone Networks Differences in phone use between men and women: Quantitative evidence from rwanda, Proceedings of the Fifth International Conference on Information and Communication Technologies and Development, pp.77512-297, 2010.

K. Lee, J. Lee, Y. Yi, I. Rhee, and S. Chong, Mobile data offloading: How much can wifi deliver?, Networking, IEEE/ACM Transactions on, vol.21, issue.2, pp.2013-536
DOI : 10.1109/tnet.2012.2218122

]. R. Keralapura, A. Nucci, Z. Zhang, and L. Gao, Profiling users in a 3g network using hourglass co-clustering, Proceedings of the sixteenth annual international conference on Mobile computing and networking, MobiCom '10, p.780, 2010.
DOI : 10.1145/1859995.1860034

A. Vaccari, L. Liu, A. Biderman, C. Ratti, F. Pereira et al., A holistic framework for the study of urban traces and the profiling of urban processes and dynamics Identification and characterization of human behavior patterns from mobile phone data, Proc. of Int. IEEE Conf. on Intelligent Transportation Systems (ITSC) Proc. of NetMob, p.785, 2009.

R. M. Pulselli, P. Romano, C. Ratti, and E. Tiezzi, Computing urban mobile landscapes through monitoring population density based on cellphone chatting, Int. Journal of Design and Nature and Ecodynamics, vol.3
DOI :

F. Girardin, A. Vaccari, A. Gerber, A. Biderman, and C. Ratti, Towards estimating the presence of visitors from the 790 aggragate mobile phone network activity they generate, Proc. of Intl. Conference on Computers in Urban Planning and Urban Management, 2009.

Q. Lin, Mobile customer clustering analysis based on call detail records, Communications of the IIMA, vol.7, 2007.
DOI : 10.1109/icmss.2009.5302716

. Alcatel-lucent, Alcatel-lucent 9900 wireless network guardian, 2012.

M. Chuah, W. Luo, and X. Zhang, Impacts of inactivity timer values on UMTS system capacity, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609), pp.897-903, 2002.
DOI : 10.1109/WCNC.2002.993390

U. Paul, A. Subramanian, M. Buddhikot, and S. Das, Understanding traffic dynamics in cellular data networks, 2011 Proceedings IEEE INFOCOM, 2011.
DOI : 10.1109/INFCOM.2011.5935313
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.544

D. B. Carr, A. R. Olsen, and D. White, Hexagon mosaic maps for displaying univariate and bivariate geographical data, p.800
DOI : 10.1559/152304092783721231

M. Shafiq, L. Ji, A. Liu, J. Pang, and J. Wang, Large-Scale Measurement and Characterization of Cellular Machine-to-Machine Traffic, IEEE/ACM Transactions on Networking, vol.21, issue.6, pp.1960-1973, 2013.
DOI : 10.1109/TNET.2013.2256431

J. Brea, J. Burroni, M. Minnoni, and C. Sarraute, Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes, Proceedings of the 8th Workshop on Social Network Mining and Analysis, SNAKDD'14, pp.14-805, 2014.
DOI : 10.1145/2659480.2659492
URL : http://arxiv.org/abs/1511.07337

M. Halkidi, Y. Batistakis, and M. Vazirgiannis, On clustering validation techniques, Journal of Intelligent Information Systems, vol.17, issue.2/3, pp.107-145, 2001.
DOI : 10.1023/A:1012801612483

R. R. Sokal and C. D. Michener, A statistical method for evaluating systematic relationships, University of Kansas 810, Scientific Bulletin, vol.28, pp.1409-1438, 1958.

G. Milligan and M. Cooper, An examination of procedures for determining the number of clusters in a data set, Psychometrika, vol.77, issue.2, pp.159-179, 1985.
DOI : 10.1007/BF02294245

E. M. Oliveira, A. C. Viana, K. P. Naveen, and C. Sarraute, Measurement-driven mobile data traffic modelling in a large metropolitan area, 2014.

T. Hossmann, T. Spyropoulos, and F. Legendre, Know Thy Neighbor: Towards Optimal Mapping of Contacts to Social Graphs for DTN Routing, 2010 Proceedings IEEE INFOCOM, 2010.
DOI : 10.1109/INFCOM.2010.5462135

R. B. Agostino and M. A. Stephens, Goodness-of-Fit-Techniques, p.26, 1986.

K. Pearson and X. , on the criterion that a given system of deviations from the probable in the case of a correlated system 820 of variables is such that it can be reasonably supposed to have arisen from random sampling, Philosophical Magazine Series, vol.5, issue.302, pp.50-157, 1900.

A. Bhattacharyya, On a measure of divergence between two statistical populations defined by their probability distributions, Bulletin of the Calcutta Mathematical Society, vol.35, pp.99-109, 1943.

D. Comaniciu, V. Ramesh, and P. Meer, Kernel-based object tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.564-577, 2003.
DOI : 10.1109/TPAMI.2003.1195991

S. Kullback and R. A. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.49-86, 1951.
DOI : 10.1214/aoms/1177729694

E. Mucceli, A. C. Viana, C. Sarraute, J. Brea, and I. Alvarez-hamelin, On the regularity of human mobility, Pervasive and Mobile computing (PMC) Journal
URL : https://hal.archives-ouvertes.fr/hal-01367825

. Tech, Executive Office of the President, 2014.