D. J. Abadi, D. Carney, U. , M. Cherniack, C. Convey et al., Aurora: a new model and architecture for data stream management, The VLDB Journal The International Journal on Very Large Data Bases, vol.12, issue.2, pp.120-139, 2003.
DOI : 10.1007/s00778-003-0095-z

C. C. Aggarwal and P. S. Yu, A Framework for Clustering Uncertain Data Streams, 2008 IEEE 24th International Conference on Data Engineering, pp.150-159, 2008.
DOI : 10.1109/ICDE.2008.4497423
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.7369

R. M. Aliguliyev, Performance evaluation of density-based clustering methods, Information Sciences, vol.179, issue.20, pp.3583-3602, 2009.
DOI : 10.1016/j.ins.2009.06.012

B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, Models and issues in data stream systems, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '02, pp.1-16, 2002.
DOI : 10.1145/543613.543615

Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, Multi-Dimensional Regression Analysis of Time-Series Data Streams, VLDB, pp.323-334, 2002.
DOI : 10.1016/B978-155860869-6/50036-6

G. Cormode, F. Korn, and S. Tirthapura, Time-decaying aggregates in out-of-order streams, Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '08, pp.89-98, 2008.
DOI : 10.1145/1376916.1376930

N. Dalvi and D. Suciu, Management of probabilistic data, Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '07, pp.1-12, 2007.
DOI : 10.1145/1265530.1265531

M. Datar, A. Gionis, P. Indyk, and R. Motwani, Maintaining Stream Statistics over Sliding Windows, SIAM Journal on Computing, vol.31, issue.6, pp.1794-1813, 2002.
DOI : 10.1137/S0097539701398363
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.3412

B. J. Frey and D. Dueck, Clustering by Passing Messages Between Data Points, Science, vol.315, issue.5814, pp.315972-976, 2007.
DOI : 10.1126/science.1136800
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.3145

C. Giannella, J. Han, J. Pei, X. Yan, and P. Yu, Mining Frequent Patterns in Data Streams at Multiple Time Granularities, Next Generation Data Mining. AAAI/MIT, 2003.

P. Haghani, S. Michel, and K. Aberer, Evaluating top-k queries over incomplete data streams, Proceeding of the 18th ACM conference on Information and knowledge management, CIKM '09, pp.877-886, 2009.
DOI : 10.1145/1645953.1646064
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.1477

J. A. Iglesias, P. Angelov, A. Ledezma, and A. Sanchis, Creating Evolving User Behavior Profiles Automatically, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.5, 2011.
DOI : 10.1109/TKDE.2011.17
URL : http://hdl.handle.net/10016/14088

X. Zhang, C. Furtlehner, J. Perez, C. Germain-renaud, and M. Sebag, Toward autonomic grids, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.987-996, 2009.
DOI : 10.1145/1557019.1557126
URL : https://hal.archives-ouvertes.fr/inria-00393825

Y. Zhu and D. Shasha, StatStream, VLDB, pp.358-369, 2002.
DOI : 10.1016/B978-155860869-6/50039-1