H. Alatrista-salas, S. Bringay, F. Flouvat, N. Selmaoui-folcher, and M. Teisseire, Spatio-sequential patterns mining: Beyond the boundaries, Intelligent Data Analysis, vol.20, issue.2, pp.293-316, 2016.
URL : https://hal.archives-ouvertes.fr/lirmm-01348460

B. Aydin and R. Angryk, Spatiotemporal event sequence mining from evolving regions, Proceedings-International Conference on Pattern Recognition, pp.4172-4177, 2017.

B. Batu, T. Temizel, and H. Duzgun, A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types, IEEE Transactions on Knowledge and Data Engineering, vol.29, issue.12, pp.2629-2642, 2017.

Y. L. Chen and Y. H. Hu, Constraint-based sequential pattern mining: The consideration of recency and compactness, Decision Support Systems, vol.42, issue.2, pp.1203-1215, 2006.

, dgbes: Seismic Interpretation Software & Services. Tech. rep, 2018.

F. Giannotti, M. Nanni, F. Pinelli, and D. Pedreschi, Trajectory pattern mining, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.330-339, 2007.

J. Han, H. Cheng, D. Xin, and X. Yan, Frequent pattern mining: Current status and future directions, Data Mining and Knowledge Discovery, vol.15, issue.1, pp.55-86, 2007.

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.

A. Julea, N. Méger, P. Bolon, C. Rigotti, M. P. Doin et al., Unsupervised spatiotemporal mining of satellite image time series using grouped frequent sequential patterns, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.4, pp.1417-1430, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00596806

K. Li and Y. Fu, Prediction of human activity by discovering temporal sequence patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.8, pp.1644-1657, 2014.

Y. Li, J. Bailey, L. Kulik, and J. Pei, Mining probabilistic frequent spatio-temporal sequential patterns with gap constraints from uncertain databases, Proceedings-IEEE International Conference on Data Mining, ICDM, pp.448-457, 2013.

J. Lin, E. Keogh, S. Lonardi, and B. Chiu, A symbolic representation of time series, with implications for streaming algorithms, Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD '03, pp.2-11, 2003.

C. Mooney and J. Roddick, Sequential pattern mining-Approaches and algorithms, ACM Computing Surveys, vol.45, issue.2, 2013.

G. Sunitha and A. Rama-mohan-reddy, Mining frequent patterns from spatiotemporal data sets: A survey, Journal of Theoretical and Applied Information Technology, vol.68, issue.2, pp.265-274, 2014.

C. Y. Tsai and Y. C. Shieh, A change detection method for sequential patterns. Decision Support Systems, vol.46, pp.501-511, 2009.

I. Tsoukatos and D. Gunopulos, Efficient mining of spatiotemporal patterns. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and, Lecture Notes in Bioinformatics), vol.2121, pp.425-442, 2001.

H. W. Zhou, Practical Seismic Data Analysis, 2014.