A. We and . Pr, Dominique Laurent for preliminary discussions on the topic of this paper

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

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

S. De-amo, D. A. Furtado, A. Giacometti, and D. Laurent, An apriori-based approach for first-order temporal pattern mining, XIX Simpósio Brasileiro de Bancos de Dados, pp.48-62, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00661551

T. Dietterich and R. Michalski, Discovering patterns in sequences of events, Artificial Intelligence, vol.25, issue.2, pp.187-232, 1985.
DOI : 10.1016/0004-3702(85)90003-7

J. Han, OLAP Mining: An Integration of OLAP with Data Mining, DS-7, pp.3-20, 1997.
DOI : 10.1007/978-0-387-35300-5_1

J. Han and Y. Fu, Mining multiple-level association rules in large databases, IEEE Trans. Knowl. Data Eng, vol.11, issue.5, pp.798-804, 1999.

J. Han, J. Pei, and Y. Yin, Mining frequent patterns without candidate generation, SIGMOD Conference, pp.1-12, 2000.

C. Lee, An Entropy-Based Approach for Generating Multi-dimensional Sequential Patterns, PKDD, pp.585-592, 2005.
DOI : 10.1007/11564126_61

H. Mannila, H. Toivonen, and A. Verkamo, Discovering frequent episodes in sequences, Proc. of Int. Conf. on Knowledge Discovery and Data Mining, pp.210-215, 1995.

F. Masseglia, F. Cathala, and P. Poncelet, The PSP approach for mining sequential patterns, Proc. of PKDD, pp.176-184, 1998.
DOI : 10.1007/BFb0094818

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, issue.10, p.16, 2004.

H. Pinto, J. Han, J. Pei, K. Wang, Q. Chen et al., Multi-dimensional sequential pattern mining, Proceedings of the tenth international conference on Information and knowledge management , CIKM'01, pp.81-88, 2001.
DOI : 10.1145/502585.502600

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Plantevit, Y. W. Choong, A. Laurent, D. Laurent, and M. Teisseire, M 2 SP: Mining sequential patterns among several dimensions, PKDD, pp.205-216, 2005.
DOI : 10.1007/11564126_23

URL : https://hal.archives-ouvertes.fr/lirmm-00106087

M. Plantevit, A. Laurent, M. Teisseire, and . Hy, Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnels.(french version), EDA, pp.155-173, 2006.

S. Sahar, Interestingness via what is not interesting, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, pp.332-336, 1999.
DOI : 10.1145/312129.312272

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

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

C. Yu and Y. Chen, Mining sequential patterns from multidimensional sequence data, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.1, pp.136-140, 2005.

M. J. Zaki, SPADE: An efficient algorithm for mining frequent sequences, Machine Learning, pp.31-60, 2001.