E. Cho, S. A. Myers, and J. Leskovec, Friendship and mobility, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.1082-1090, 2011.
DOI : 10.1145/2020408.2020579

J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

J. Delort, Vizualizing Large Spatial Datasets in Interactive Maps, 2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services, pp.33-38, 2010.
DOI : 10.1109/GEOProcessing.2010.13

D. Fisher, Hotmap: Looking at Geographic Attention, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, pp.1184-1191, 2007.
DOI : 10.1109/TVCG.2007.70561

H. Hotta and M. Hagiwara, Online Geovisualization with Fast Kernel Density Estimator, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp.622-625, 2009.
DOI : 10.1109/WI-IAT.2009.105

O. D. Lampe and H. Hauser, Interactive visualization of streaming data with Kernel Density Estimation, 2011 IEEE Pacific Visualization Symposium, pp.171-178, 2011.
DOI : 10.1109/PACIFICVIS.2011.5742387

C. Li, G. Baciu, and Y. Han, Interactive visualization of high density streaming points with heat-map, 2014 International Conference on Smart Computing, pp.145-149, 2014.
DOI : 10.1109/SMARTCOMP.2014.7043852

C. Li, G. Baciu, and H. Yu, StreamMap: Smooth Dynamic Visualization of High-Density Streaming Points, IEEE Transactions on Visualization and Computer Graphics, 2017.
DOI : 10.1109/TVCG.2017.2668409

S. ?ukasik, Parallel Computing of Kernel Density Estimates with MPI, Computational Science?ICCS, pp.726-733, 2007.
DOI : 10.1007/978-3-540-72588-6_120

N. Marz and J. Warren, Big Data: Principles and best practices of scalable realtime data systems, 2015.

A. Mccallum, K. Nigam, and L. H. Ungar, Efficient clustering of high-dimensional data sets with application to reference matching, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, pp.169-178, 2000.
DOI : 10.1145/347090.347123

P. D. Michailidis and K. G. Margaritis, Accelerating kernel density estimation on the GPU using the CUDA framework, Applied Mathematical Sciences, vol.7, issue.30, pp.1447-1476, 2013.
DOI : 10.12988/ams.2013.13133

P. D. Michailidis and K. G. Margaritis, Parallel Computing of Kernel Density Estimation with Different Multi-core Programming Models, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, pp.77-85, 2013.
DOI : 10.1109/PDP.2013.20

E. Parzen, On Estimation of a Probability Density Function and Mode, The Annals of Mathematical Statistics, vol.33, issue.3, pp.1065-1076, 1962.
DOI : 10.1214/aoms/1177704472

A. Perrot, R. Bourqui, N. Hanusse, F. Lalanne, and D. Auber, Large interactive visualization of density functions on big data infrastructure, 2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV), pp.99-106, 2015.
DOI : 10.1109/LDAV.2015.7348077
URL : https://hal.archives-ouvertes.fr/hal-01188721

M. Rosenblatt, Remarks on Some Nonparametric Estimates of a Density Function, The Annals of Mathematical Statistics, vol.27, issue.3, pp.832-837, 1956.
DOI : 10.1214/aoms/1177728190

R. Van-liere and W. Leeuw, Graphsplatting: visualizing graphs as continuous fields, IEEE Transactions on Visualization and Computer Graphics, vol.9, issue.2, pp.206-212, 2003.
DOI : 10.1109/TVCG.2003.1196007

M. Zaharia, T. Das, H. Li, T. Hunter, S. Shenker et al., Discretized streams, Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, SOSP '13, pp.423-438, 2013.
DOI : 10.1145/2517349.2522737

Y. Zheng, J. Jestes, J. M. Phillips, and F. Li, Quality and efficiency for kernel density estimates in large data, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, pp.433-444, 2013.
DOI : 10.1145/2463676.2465319

M. Zinsmaier, U. Brandes, O. Deussen, and H. Strobelt, Interactive Level-of-Detail Rendering of Large Graphs, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.12, pp.2486-2495, 2012.
DOI : 10.1109/TVCG.2012.238