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 , KDD '02, pp.429-435, 2002.
DOI : 10.1145/775047.775109

URL : http://www.cs.cornell.edu/johannes/papers/2002/kdd2002-spam.pdf

N. Béchet, P. Cellier, T. Charnois, and B. Crémilleux, Sequential pattern mining to discover relations between genes and rare diseases, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), p.CBMS, 2012.
DOI : 10.1109/CBMS.2012.6266367

N. Beldiceanu and E. Contejean, Introducing global constraints in CHIP, Mathematical and Computer Modelling, vol.20, issue.12, pp.97-123, 1994.
DOI : 10.1016/0895-7177(94)90127-9

URL : https://hal.archives-ouvertes.fr/hal-00442810

E. Coquery, S. Jabbour, L. Saïs, and Y. Salhi, A SAT-based approach for discovering frequent, closed and maximal patterns in a sequence, pp.258-263, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00865559

P. Fournier-viger, A. Gomariz, T. Gueniche, A. Soltani, C. Wu et al., SPMF: A Java Open-Source Pattern Mining Library, J. of Machine Learning Resea, vol.15, pp.3389-3393, 2014.
DOI : 10.1007/978-3-319-46131-1_8

M. N. Garofalakis, R. Rastogi, and K. Shim, Mining sequential patterns with regular expression constraints, IEEE Transactions on Knowledge and Data Engineering, vol.14, issue.3, pp.530-552, 2002.
DOI : 10.1109/TKDE.2002.1000341

URL : http://www.cs.berkeley.edu/~minos/Papers/tkde02.ps.gz

T. Guns, S. Nijssen, and L. D. Raedt, Itemset mining: A constraint programming perspective, Artificial Intelligence, vol.175, issue.12-13, pp.12-13, 2011.
DOI : 10.1016/j.artint.2011.05.002

URL : https://doi.org/10.1016/j.artint.2011.05.002

A. Kemmar, W. Ugarte, S. Loudni, T. Charnois, Y. Lebbah et al., Mining Relevant Sequence Patterns with CP-Based Framework, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, pp.552-559, 2014.
DOI : 10.1109/ICTAI.2014.89

URL : https://hal.archives-ouvertes.fr/hal-01145905

C. Li, Q. Yang, J. Wang, and M. Li, Efficient Mining of Gap-Constrained Subsequences and Its Various Applications, ACM Transactions on Knowledge Discovery from Data, vol.6, issue.1, pp.1-239, 2012.
DOI : 10.1145/2133360.2133362

J. P. Métivier, S. Loudni, and T. Charnois, A constraint programming approach for mining sequential patterns in a sequence database, ECML/PKDD Workshop on Languages for Data Mining and Machine Learning, 2013.

B. Negrevergne and T. Guns, Constraint-Based Sequence Mining Using Constraint Programming, CPAIOR'15 (also available as CoRR abs, 1178.
DOI : 10.1007/978-3-319-18008-3_20

URL : http://arxiv.org/pdf/1501.01178

P. K. Novak, N. Lavrac, and G. I. Webb, Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining, Journal of Machine Learning Research, vol.10, 2009.

J. Pei, J. Han, B. Mortazavi-asl, H. Pinto, Q. Chen et al., PrefixSpan: Mining sequential patterns by prefix-projected growth, pp.215-224, 2001.

J. Pei, J. Han, and W. Wang, Mining sequential patterns with constraints in large databases, Proceedings of the eleventh international conference on Information and knowledge management , CIKM '02, pp.18-25, 2002.
DOI : 10.1145/584792.584799

URL : http://www-faculty.cs.uiuc.edu/~hanj/pdf/cikm02.pdf

G. Pesant, A Regular Language Membership Constraint for Finite Sequences of Variables, LNCS, vol.2239, pp.482-495, 2004.
DOI : 10.1007/978-3-540-30201-8_36

R. Srikant and R. Agrawal, Mining sequential patterns: Generalizations and performance improvements, pp.3-17, 1996.
DOI : 10.1007/BFb0014140

R. Trasarti, F. Bonchi, and B. Goethals, Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions, 2008 Eighth IEEE International Conference on Data Mining, pp.1061-1066, 2008.
DOI : 10.1109/ICDM.2008.111

URL : http://www-kdd.isti.cnr.it/~bonchi/icdm08.pdf

X. Yan, J. Han, and R. Afshar, CloSpan: Mining: Closed Sequential Patterns in Large Datasets, SIAM, 2003.
DOI : 10.1137/1.9781611972733.15

URL : http://www-faculty.cs.uiuc.edu/~hanj/pdf/sdm03_clospan.pdf

G. Yang, Computational aspects of mining maximal frequent patterns, Theoretical Computer Science, vol.362, issue.1-3, pp.63-85, 2006.
DOI : 10.1016/j.tcs.2006.05.029

M. J. Zaki, Sequence mining in categorical domains, Proceedings of the ninth international conference on Information and knowledge management , CIKM '00, pp.422-429, 2000.
DOI : 10.1145/354756.354849

M. J. Zaki, SPADE: An efficient algorithm for mining frequent sequences, Machine Learning, vol.42, issue.1/2, pp.31-60, 2001.
DOI : 10.1023/A:1007652502315