Y. Asses, A. Buzmakov, T. Bourquard, S. O. Kuznetsov, and A. Napoli, A Hybrid Classification Approach based on FCA and Emerging Patterns -An application for the classification of biological inhibitors, Proceedings of CLA (CEUR Workshop Proceedings), vol.972, pp.211-222, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00761586

J. Ayres, J. Flannick, J. Gehrke, and T. Yiu, Sequential pattern mining using a bitmap representation, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.429-435, 2002.
DOI : 10.1145/775047.775109

A. Buzmakov, E. Egho, N. Jay, O. Sergei, A. Kuznetsov et al., On mining complex sequential data by means of FCA and pattern structures, International Journal of General Systems, vol.45, pp.135-159, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01186715

V. Codocedo, G. Bosc, M. Kaytoue, J. Boulicaut, and A. Napoli, A Proposition for Sequence Mining Using Pattern Structures, Proceedings of ICFCA, pp.106-121, 2017.
DOI : 10.1007/978-3-319-59271-8_7

URL : https://hal.archives-ouvertes.fr/hal-01549107

E. Dim and T. Kuflik, Early detection of museum visitors identities by using a museum triage, UMAP Workshops, 2012.

G. Dong and J. Li, Efficient mining of emerging patterns: Discovering trends and differences, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, pp.43-52, 1999.

E. Egho, N. Jay, C. Raïssi, D. Ienco, P. Poncelet et al., A contribution to the discovery of multidimensional patterns in healthcare trajectories, Journal of Intelligent Information Systems, vol.42, pp.283-305, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01094377

E. Egho, C. Raïssi, T. Calders, N. Jay, and A. Napoli, On measuring similarity for sequences of itemsets, Data Mining and Knowledge Discovery, vol.29, pp.732-764, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01094383

B. Ganter and S. O. Kuznetsov, Pattern structures and their projections, International Conference on Conceptual Structures, pp.129-142, 2001.
DOI : 10.1007/3-540-44583-8_10

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

A. Gomariz, M. Campos, R. Marin, and B. Goethals, ClaSP: an efficient algorithm for mining frequent closed sequences, Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.50-61, 2013.
DOI : 10.1007/978-3-642-37453-1_5

URL : http://www.philippe-fournier-viger.com/spmf/clasp.pdf

J. Han, J. Pei, B. Mortazavi-asl, H. Pinto, Q. Chen et al., PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth, Proceedings of the 17th International Conference on Data Engineering, pp.215-224, 2001.

T. Kuflik, Z. Boger, and M. Zancanaro, Analysis and prediction of museum visitors' behavioral pattern types, Ubiquitous Display Environments, pp.161-176, 2012.

O. Sergei, . Kuznetsov, and . Dmitry-i-ignatov, Concept stability for constructing taxonomies of web-site users, 2009.

J. Lanir, T. Kuflik, E. Dim, A. J. Wecker, and O. Stock, The influence of a location-aware mobile guide on museum visitors' behavior. Interacting with, Computers, vol.25, pp.443-460, 2013.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2014.

E. Véron and M. Levasseur, Ethnographie de l'exposition. Bibliothèque Publique d'Information, 1983.

J. Wang and J. Han, BIDE: Efficient mining of frequent closed sequences, Proceedings of 20th International Conference on Data Engineering, pp.79-90, 2004.

X. Yan, J. Han, and R. Afshar, CloSpan: Mining: Closed sequential patterns in large datasets, Proceedings of the 2003 SIAM International Conference on Data Mining. SIAM, pp.166-177, 2003.

M. Zancanaro, T. Kuflik, Z. Boger, D. Goren-bar, and D. Goldwasser, Analyzing museum visitors' behavior patterns, International Conference on User Modeling, pp.238-246, 2007.
DOI : 10.1007/978-3-540-73078-1_27