V. Bogorny, P. Engel, and L. O. Alvares, Spatial data preparation for knowledge discovery, IEEE Computer Graphics pp, vol.24, issue.5, p.8, 2005.

H. Alatrista-salas, S. Bringay, F. Flouvat, N. Selmaoui-folcher, and M. Teisseire, The Pattern Next Door: Towards Spatio-sequential Pattern Discovery Advances in Knowledge Discovery and Data Mining -16th Pacific, pp.157-168, 2012.

L. Cao, H. Zhang, Y. Zhao, D. Luo, and C. Zhang, Combined Mining, Systems, Man, and Cybernetics Part B: Cybernetics IEEE Transactions on, vol.41, issue.3, pp.699-712, 2011.
DOI : 10.1007/978-1-4419-5737-5_6

M. Celik, S. Shekhar, J. Rogers, and J. Shine, Mixed-drove spatiotemporal cooccurrence pattern mining, Proc. of IEEE TKDE, pp.1322-1335, 2008.
DOI : 10.1109/tkde.2008.97
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.1571

B. Elias, Extracting Landmarks with Data Mining Methods, Foundations of Geographic Information Science. Lecture Notes in Computer Science, vol.2825, pp.375-389, 2003.
DOI : 10.1007/978-3-540-39923-0_25

U. M. Fayyad, G. Piatetsky-shapiro, and P. Smyth, Advances in knowledge discovery and data mining From data mining to knowledge discovery: an overview, American Association for Artificial Intelligence, pp.1-34, 1996.

W. Hsu, M. Lee, and J. Wang, Temporal and Spatio-Temporal Data Mining. Gale Virtual Reference Library, 2008.

Y. Huang, L. Zhang, and P. Zhang, A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets, IEEE Transactions on Knowledge and Data Engineering, vol.20, issue.4, pp.433-448, 2008.
DOI : 10.1109/TKDE.2007.190712

K. Gibert, J. Izquierdo, G. Holmes, I. Athanasiadis, J. Comas et al., On the role of pre and post-processing in environmental data mining, The iEMSs: International Congress on Environmental Modeling and Software Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, pp.1937-1958, 2008.

J. Han, K. Koperski, and N. Stefanovic, Geominer: a system prototype for spatial data mining, Proc. of ACM SIGMOD, SIGMOD '97, pp.553-556, 1997.

K. Koperski and J. Han, Discovery of spatial association rules in geographic information databases, In: Advances in Spatial Databases. Lecture Notes in Computer Science, vol.951, pp.47-66, 1995.
DOI : 10.1007/3-540-60159-7_4

J. Mennis and J. W. Liu, Mining Association Rules in Spatio-Temporal Data: An Analysis of Urban Socioeconomic and Land Cover Change, Transactions in GIS, vol.12, issue.1, pp.5-17, 2005.
DOI : 10.1111/1467-9671.00151

J. Pei, J. Han, B. Mortazavi-asl, J. Wang, H. Pinto et al., Mining sequential patterns by pattern-growth: The prefixspan approach, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.11, pp.1424-1440, 2004.

F. Qi and A. Zhu, Knowledge discovery from soil maps using inductive learning, International Journal of Geographical Information Science, vol.20, issue.8, pp.771-795, 2003.
DOI : 10.2136/sssaj2001.6551463x

S. Shekhar and Y. Huang, Discovering Spatial Co-Location Patterns A Summary Of Results Advances in Spatial and Temporal Databases, pp.236-256, 2001.

D. Triki, A. Frihida, B. Ghezala, H. Claramunt, and C. , Modèle et langage pour la manipulation de trajectoires spatio-temporelles, International Journal of Geomatics and Spatial Analysis IJGSA, vol.20, issue.1, pp.37-64, 2010.

I. Tsoukatos and D. Gunopulos, Efficient Mining of Spatiotemporal Patterns, Lecture Notes in Computer Science, pp.425-442, 2001.
DOI : 10.1007/3-540-47724-1_22

J. Wang, W. Hsu, and M. Lee, Mining Generalized Spatio-Temporal Patterns, Database Systems for Advanced Applications, pp.649-661, 2005.
DOI : 10.1007/11408079_60