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
Pre-structuring Model, version 2.0, 2014. ,
Cognitive Networks, Proc. IEEE DySPAN 2005, 2005. ,
Large-Scale Mobile Traffic Analysis: A Survey, IEEE Communications Surveys & Tutorials, vol.18, issue.1, 2015. ,
DOI : 10.1109/COMST.2015.2491361
URL : https://hal.archives-ouvertes.fr/hal-01132385
Understanding individual human mobility patterns, Nature, vol.89, issue.7196, pp.779-782, 2008. ,
DOI : 10.1038/nature06958
Human mobility modeling at metropolitan scales, Proceedings of the 10th international conference on Mobile systems, applications, and services, MobiSys '12, 2012. ,
DOI : 10.1145/2307636.2307659
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.5611
Limits of Predictability in Human Mobility, Science, vol.327, issue.5968, pp.1018-1021, 2010. ,
DOI : 10.1126/science.1177170
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
Measurement-driven mobile data traffic modeling in a large metropolitan area, 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2015. ,
DOI : 10.1109/PERCOM.2015.7146533
URL : https://hal.archives-ouvertes.fr/hal-01089434
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
Identifying abnormal patterns in cellular communication flows, Proceedings of Principles, Systems and Applications on IP Telecommunications, IPTComm '13, 2013. ,
DOI : 10.1145/2589649.2554671
On the Decomposition of Cell Phone Activity Patterns and their Connection with Urban Ecology, Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc '15, 2015. ,
DOI : 10.1145/2746285.2746292
Anomaly detection in a mobile communication network, Computational and Mathematical Organization Theory, pp.407-422, 2007. ,
DOI : 10.1007/s10588-007-9018-7
Uncovering individual and collective human dynamics from mobile phone records, Journal of Physics A: Mathematical and Theoretical, vol.41, issue.22, p.224015, 2008. ,
DOI : 10.1088/1751-8113/41/22/224015
URL : http://arxiv.org/abs/0710.2939
Identification and Characterization of Human Behavior Patterns from Mobile Phone Data, Proc. NetMob 2013, 2013. ,
Computing urban mobile landscapes through monitoring population density based on cell-phone chatting, International Journal of Design & Nature and Ecodynamics, vol.3, issue.2, pp.121-134, 2008. ,
DOI : 10.2495/D&NE-V3-N2-121-134
Towards Estimating the Presence of Visitors from the Aggregate Mobile Phone Network Activity They Generate, Proc. CUPUM, 2009. ,
A first look at cellular network performance during crowded events, ACM SIGMETRICS Performance Evaluation Review, vol.41, issue.1, pp.17-28, 2013. ,
DOI : 10.1145/2494232.2465754
Cutting without pain: Mitigating 3G radio tail effect on smartphones, 2013 Proceedings IEEE INFOCOM, 2013. ,
DOI : 10.1109/INFCOM.2013.6566811
To Cache or Not to Cache : The 3G Case, IEEE Internet Computing, vol.15, issue.2, pp.27-34, 2011. ,
Mobile Data Delivery through Opportunistic Communications among Cellular Users : A Case Study for the D4D Challenge, Proc. NetMob 2013, 2013. ,
The case for re-configurable backhaul in cloud-RAN based small cell networks, 2013 Proceedings IEEE INFOCOM, 2013. ,
DOI : 10.1109/INFCOM.2013.6566903
Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks, IEEE Transactions on Wireless Communications, vol.12, issue.5, pp.2126-2136, 2013. ,
DOI : 10.1109/TWC.2013.032013.120494
Radio resource allocation in LTE-advanced cellular networks with M2M communications, IEEE Communications Magazine, vol.50, issue.7, pp.184-192, 2012. ,
DOI : 10.1109/MCOM.2012.6231296
Survey of Clustering Algorithms, IEEE Transactions on Neural Networks, vol.16, issue.3, pp.645-678, 2005. ,
DOI : 10.1109/TNN.2005.845141
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
A dendrite method for cluster analysis, Communications in Statistics - Theory and Methods, vol.3, issue.1, pp.1-27, 1974. ,
DOI : 10.1080/03610927408827101
Euclidean Cluster Analysis, Scientific Control Systems Limited, 1969. ,
A general statistical framework for assessing categorical clustering in free recall., Psychological Bulletin, vol.83, issue.6, p.1072, 1976. ,
DOI : 10.1037/0033-2909.83.6.1072
Pattern Classification and Scene Analysis, 1973. ,
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, vol.20, pp.53-65, 1987. ,
DOI : 10.1016/0377-0427(87)90125-7
Classification and Clustering, Journal of Marketing Research, vol.18, issue.4, 1975. ,
DOI : 10.2307/3151350
A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering, Biometrics, vol.44, issue.1, pp.23-34, 1988. ,
DOI : 10.2307/2531893
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models, 2015. ,
DOI : 10.1007/978-3-319-23461-8_3