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

G. Arévalo, J. R. Falleri, M. Huchard, and C. Nebut, Building Abstractions in Class Models: Formal Concept Analysis in a Model-Driven Approach, pp.513-527, 2006.
DOI : 10.1007/11880240_36

S. Bimonte, K. Boulil, A. Braud, S. Bringay, F. Cernesson et al., système décisionnel pour l'analyse de la qualité des eaux derivì eres, pp.143-167, 2015.

A. Buzmakov, E. Egho, N. Jay, S. O. Kuznetsov, A. Napoli et al., On mining complex sequential data by means of FCA and pattern structures, International Journal of General Systems, vol.18, issue.2, pp.135-159, 2016.
DOI : 10.1023/A:1007652502315
URL : https://hal.archives-ouvertes.fr/hal-01186715

G. Casas-garriga, Summarizing Sequential Data with Closed Partial Orders, 2005 SIAM Int. Conference on Data Mining, pp.380-391, 2005.
DOI : 10.1137/1.9781611972757.34

S. D?eroski, Relational data mining, Data Mining and Knowledge Discovery Handbook, pp.869-898, 2005.

M. Fabrègue, A. Braud, S. Bringay, C. Grac, L. Ber et al., Discriminant temporal patterns for linking physico-chemistry and biology in hydro-ecosystem assessment, Ecological Informatics, vol.24, pp.210-221, 2014.
DOI : 10.1016/j.ecoinf.2014.09.003

S. Ferré, The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees, pp.98-113, 2007.
DOI : 10.1007/978-3-540-70901-5_7

C. A. Ferreira, J. Gama, and V. S. Costa, Exploring multi-relational temporal databases with a propositional sequence miner, Progress in Artificial Intelligence, vol.62, issue.1???2, pp.11-20, 2015.
DOI : 10.1007/s13748-015-0065-x

C. Frankfort-nachmias and A. Leon-guerrero, Social Statistics for a Diverse Society, chap. Measures of Variability, 2010.

B. Ganter and R. Wille, Formal Concept Analysis: Mathematical Foundations, 1999.

M. Klimushkin, S. Obiedkov, and C. Roth, Approaches to the Selection of Relevant Concepts in the Case of Noisy Data, pp.255-266, 2010.
DOI : 10.1007/978-3-642-11928-6_18

S. O. Kuznetsov, On stability of a formal concept, Annals of Mathematics and Artificial Intelligence, vol.8, issue.3, pp.101-115, 2007.
DOI : 10.1007/s10472-007-9053-6

C. Nica, A. Braud, X. Dolques, M. Huchard, L. Ber et al., Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis, International Conference on Conceptual Structures, ICCS'2016, pp.1-14, 2016.
DOI : 10.1007/978-3-319-40985-6_2
URL : https://hal.archives-ouvertes.fr/hal-01380407

J. Poelmans, P. Elzinga, S. Viaene, and G. Dedene, A Method based on Temporal Concept Analysis for Detecting and Profiling Human Trafficking Suspects, Artificial Intelligence and Applications, pp.1-9, 2010.
DOI : 10.2316/P.2010.674-024

M. Rouane-hacene, M. Huchard, A. Napoli, and P. Valtchev, Relational concept analysis: mining concept lattices from multi-relational data, Annals of Mathematics and Artificial Intelligence, vol.5, issue.1, pp.81-108, 2013.
DOI : 10.1007/s10472-012-9329-3
URL : https://hal.archives-ouvertes.fr/lirmm-00816300

G. Stumme, Efficient Data Mining Based on Formal Concept Analysis, Database and Expert Systems Applications, pp.534-546, 2002.
DOI : 10.1007/3-540-46146-9_53

K. E. Wolff, Temporal Concept Analysis, ICCS-01 Workshop on Concept Lattice for KDD, 9th Int. Conference on Conceptual Structures, pp.91-107, 2001.