M. Gouko and K. Ito, AN ACTION GENERATION MODEL BY USING TIME SERIES PREDICTION AND ITS APPLICATION TO ROBOT NAVIGATION, International Journal of Neural Systems, vol.19, issue.02, pp.105-113, 2009.
DOI : 10.1142/S0129065709001872

C. S. Möller-levet and H. Yin, MODELING AND ANALYSIS OF GENE EXPRESSION TIME-SERIES BASED ON CO-EXPRESSION, International Journal of Neural Systems, vol.15, issue.04, pp.311-322, 2005.
DOI : 10.1142/S0129065705000268

L. D. Shi, Y. H. Shi, Y. Gao, L. Shang, and Y. B. Yang, XCSc: A NOVEL APPROACH TO CLUSTERING WITH EXTENDED CLASSIFIER SYSTEM, International Journal of Neural Systems, vol.21, issue.01, pp.79-93, 2011.
DOI : 10.1142/S0129065711002675

P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, DIGITAL CHANGE DETECTION METHODS IN NATURAL ECOSYSTEM MONITORING: A REVIEW, Analysis of Multi-Temporal Remote Sensing Images, pp.1565-1596, 2004.
DOI : 10.1142/9789812777249_0001

J. B. Campbell, Introduction to remote sensing, Geocarto International, vol.2, issue.4, 2007.
DOI : 10.1080/10106048709354126

J. R. Jensen, Remote Sensing of the Environment: An Earth Resource Perspective, 2007.

R. Agrawal and R. Srikant, Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, pp.3-14, 1995.
DOI : 10.1109/ICDE.1995.380415

F. Masseglia, F. Cathala, and P. Poncelet, The PSP approach for mining sequential patterns, Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD'98), 1998.
DOI : 10.1007/BFb0094818

J. Pei, J. Han, B. Mortazavi-asl, H. Pinto, Q. Chen et al., Prefixspan: Mining sequential patterns efficiently by prefix-projected pattern growth, ICDE '01: Proceedings of the 17th International Conference on Data Engineering, p.215, 2001.

A. Julea, N. Méger, and E. Trouvé, Sequential patterns extraction in multitemporal satellite images, 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML / PKDD, pp.96-99, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00133151

A. Julea, N. Méger, E. Trouvé, and P. Bolon, On Extracting Evolutions from Satellite Image Time Series, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, pp.228-231, 2008.
DOI : 10.1109/IGARSS.2008.4780069

URL : https://hal.archives-ouvertes.fr/hal-00520961

F. Masseglia, P. Poncelet, M. Teisseire, and A. Marascu, Web usage mining: extracting unexpected periods from web logs, Data Mining and Knowledge Discovery, vol.6, issue.1, pp.39-65, 2008.
DOI : 10.1007/s10618-007-0080-z

URL : https://hal.archives-ouvertes.fr/inria-00461877

L. Bruzzone and D. Prieto, Automatic analysis of the difference image for unsupervised change detection, IEEE Transactions on Geoscience and Remote Sensing, vol.38, issue.3, pp.1171-1182, 2000.
DOI : 10.1109/36.843009

J. R. Jensen, Urban Change Detection Mapping Using Landsat Digital Data, Cartography and Geographic Information Science, vol.8, issue.2, pp.127-147, 1981.
DOI : 10.1559/152304081784447318

R. Johnson and E. Kasischke, Change vector analysis: A technique for the multispectral monitoring of land cover and condition, International Journal of Remote Sensing, vol.19, issue.3, pp.411-426, 1998.
DOI : 10.1080/014311698216062

G. Foody, Monitoring the magnitude of landcover change around the southern limits of the Sahara, Photogrammetric Engineering and Remote Sensing, vol.67, issue.7, pp.841-848, 2001.

P. Howarth, J. Piwowar, and A. Millward, Time-Series Analysis of Medium-Resolution, Multisensor Satellite Data for Identifying Landscape Change, Photogrammetric engineering and remote sensing, vol.72, issue.6, pp.653-663, 2006.

R. E. Kennedy, W. B. Cohen, and T. A. Schroeder, Trajectory-based change detection for automated characterization of forest disturbance dynamics, Remote Sensing of Environment, vol.110, issue.3, pp.370-386, 2007.
DOI : 10.1016/j.rse.2007.03.010

L. Andres, W. Salas, and D. Skole, Fourier analysis of multi-temporal AVHRR data applied to a land cover classification, International Journal of Remote Sensing, vol.15, issue.5, pp.1115-1121, 1994.
DOI : 10.1007/BF02546511

A. Ketterlin and P. Gançarski, Sequence Similarity and Multi-Date Image Segmentation, 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2007.
DOI : 10.1109/MULTITEMP.2007.4293034

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

J. Pei, G. Dong, W. Zou, and J. Han, Mining Condensed Frequent-Pattern Bases, Knowledge and Information Systems, vol.1, issue.5, pp.570-594, 2004.
DOI : 10.1007/s10115-003-0133-6

A. Soulet and B. Crémilleux, Adequate condensed representations of patterns, Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML / PKDD), pp.20-21, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01024051

B. Jeudy and J. Boulicaut, Using Condensed Representations for Interactive Association Rule Mining, Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, pp.225-236, 2002.
DOI : 10.1007/3-540-45681-3_19