Y. Abboud, A. Boyer, and A. Brun, Predict the emergence -Application to competencies in job offers, ICTAI, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01254179

R. Agrawal, T. Imieliskiand, and A. Swami, Mining Association Rules Between Sets of Items in Large Databases, ACM SIGMOD, pp.207-216, 1993.

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

C. Aggarwal, C. Ta, N. Wang, J. Feng, J. et al., Xproj, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.46-55, 2007.
DOI : 10.1145/1281192.1281201

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

J. Chen and T. Cook, Mining contiguous sequential patterns from web logs, Proceedings of the 16th international conference on World Wide Web , WWW '07, 2007.
DOI : 10.1145/1242572.1242753

J. Chen, Contiguous item sequential pattern mining using UpDown Tree, Intelligent Data Analysis, p.12, 2008.

C. Li and J. Wang, Efficiently Mining Closed Subsequences with Gap Constraints, Proceedings of SIAM International Conference on Data Mining, 2008.
DOI : 10.1137/1.9781611972788.28

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

J. Fischer, V. Heun, and S. Kramer, Optimal String Mining Under Frequency Constraints, European Conference on Principles of Data Mining and Knowledge Discovery, pp.139-150, 2006.
DOI : 10.1007/11871637_17

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

J. Fürnkranz, A Study Using n-gram Features for Text Categorization, Austrian Research Institute for Artificial Intelligence, 1998.

M. Garofalakis, R. Rastogi, and K. Shim, MSPIRIT: Sequential Pattern Mining with Regular Expression Constraints, Proceedings of the 25th International Conference on Very Large Data Bases, 1999.
DOI : 10.1109/tkde.2002.1000341

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

J. Han, J. Pei, B. Mortazavi-asl, Q. Chen, U. Dayal et al., FreeSpan, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, 2000.
DOI : 10.1145/347090.347167

T. H. Kang, J. S. Yoo, and H. Y. Kim, Mining Frequent Contiguous Sequence Patterns in Biological Sequences, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering, 2007.
DOI : 10.1109/BIBE.2007.4375640

M. Karim, M. Rashid, S. Jeong, B. , J. Choi et al., An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases, Genomics & Informatics, vol.10, issue.1, p.10, 2012.
DOI : 10.5808/GI.2012.10.1.51

URL : http://doi.org/10.5808/gi.2012.10.1.51

V. C. Liao and M. S. Chen, DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences, Knowledge and Information Systems, vol.42, issue.1/2, p.38, 2014.
DOI : 10.1023/A:1007652502315

T. Matsui, T. Uno, J. Umemori, and T. Koide, A New Approach to String Pattern Mining with Approximate Match, Discovery Science, pp.110-125, 2013.
DOI : 10.1007/978-3-642-40897-7_8

J. Pei, J. Han, R. Mao, Q. Chen, U. Dayal et al., CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets, DMKD01 workshop, 2001.

J. Pei, J. Han, B. Mortazavi-asl, Q. Chen, U. Dayal et al., PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth, Proceedings of the 17th International Conference on Data Engineering, 2001.

J. Pei, J. Han, and W. Wang, Constraint-based sequential pattern mining: the pattern-growth methods, Journal of Intelligent Information Systems, vol.42, issue.1-2, p.28, 2007.
DOI : 10.1007/s10844-006-0006-z

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

J. Wang and J. Han, BIDE: efficient mining of frequent closed sequences, Proceedings. 20th International Conference on Data Engineering, 2004.
DOI : 10.1109/ICDE.2004.1319986

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

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

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

M. Zaki and C. Hsiao, CHARM: An Efficient Algorithm for Closed Itemset Mining, Proceedings of SIAM Conference on Data Mining, 2002.
DOI : 10.1137/1.9781611972726.27

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

M. Zhang, B. Kao, D. Cheung, and K. Yip, Mining Periodic Patterns with Gap Requirement from Sequences, ACM Trans. Knowl. Discov. Data, vol.1, 2007.
DOI : 10.1145/1267066.1267068

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

J. Zhang, Y. Wang, and D. Yang, CCSpan: Mining closed contiguous sequential patterns , Knowledge-Based Systems, pp.1-13, 2015.
DOI : 10.1016/j.knosys.2015.06.014