R. Agrawal, C. Faloutsos, and A. N. Swami, Efficient similarity search in sequence databases, Proceedings of the 4th International Conference of Foundations of Data Organization and Algorithms (FODO), pp.69-84, 1993.
DOI : 10.1007/3-540-57301-1_5

R. Agrawal, R. Et, and . Srikant, Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, pp.3-14, 1995.
DOI : 10.1109/ICDE.1995.380415

T. Bozkaya, N. Yazdani, and Z. M. Ozsoyoglu, Matching and indexing sequences of different lengths, Proceedings of the sixth international conference on Information and knowledge management , CIKM '97, pp.128-135, 1997.
DOI : 10.1145/266714.266880

M. Capelle, C. Masson, and J. Boulicaut, Mining Frequent Sequential Patterns under a Similarity Constraint, IDEAL, pp.1-6, 2002.
DOI : 10.1007/3-540-45675-9_1

M. N. Garofalakis, R. Rastogi, and E. K. Shim, SPIRIT : Sequential pattern mining with regular expression constraints, The VLDB Journal, pp.223-234, 1999.

V. Guralnik, G. Et, and . Karypis, A scalable algorithm for clustering sequential data, Proceedings 2001 IEEE International Conference on Data Mining, pp.179-186, 2001.
DOI : 10.1109/ICDM.2001.989516

J. Hartigans, Classification and Clustering, Journal of Marketing Research, vol.18, issue.4, 1975.
DOI : 10.2307/3151350

J. Zhu and Z. W. , FAST: A novel protein structure alignment algorithm, Proteins: Structure, Function, and Bioinformatics, vol.34, issue.Suppl 2, 2005.
DOI : 10.1002/prot.20331

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.509.8926

H. Kum, ApproxMAP: Approximate Mining of Consensus Sequential Patterns, 2004.
DOI : 10.1137/1.9781611972733.36

H. Kum, J. Pei, W. Wang, and E. D. Duncan, ApproxMAP: Approximate Mining of Consensus Sequential Patterns, SDM, 2003.
DOI : 10.1137/1.9781611972733.36

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions, and reversals, 1966.

H. Mannila, P. Et, and . Ronkainen, Similarity of event sequences, Proceedings of TIME '97: 4th International Workshop on Temporal Representation and Reasoning, p.136, 1997.
DOI : 10.1109/TIME.1997.600793

P. Moen, Attributs, Event Sequence, and Event Type Similarity Notions for Data Mining, 2000.

T. Morzy, M. Wojciechowski, and E. M. Zakrzewicz, Pattern-oriented hierachical clustering, Advances in Databases and Information Systems, pp.179-190, 1999.
DOI : 10.1007/3-540-48252-0_14

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.8253

J. Pei, J. Han, B. Mortazavi-asl, H. Pinto, Q. Chen et al., Prefixspan : Mining sequential patterns efficiently by prefixprojected pattern growth, pp.215-224, 2001.

M. Plantevit, S. Goutier, F. Guisnel, A. Laurent, and E. M. Teisseire, Mining unexpected multidimensional rules, Proceedings of the ACM tenth international workshop on Data warehousing and OLAP , DOLAP '07, pp.89-96, 2007.
DOI : 10.1145/1317331.1317347

URL : https://hal.archives-ouvertes.fr/lirmm-00175246

K. Sequeira, M. J. Et, and . Zaki, ADMIT, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.386-395, 2002.
DOI : 10.1145/775047.775103