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

V. Boonjing and P. Songram, Efficient Algorithms for Mining Closed Multidimensional Sequential Patterns, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), pp.749-753, 2007.
DOI : 10.1109/FSKD.2007.265

M. Brown, Data mining techniques Retrieved from website: https://www. ibm. com/developerworks/library/badata-mining-techniques, 2012.

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.18, issue.2, pp.135-159, 2016.
DOI : 10.1023/A:1007652502315

URL : https://hal.archives-ouvertes.fr/hal-01186715

S. Chakrabarti, M. Ester, U. Fayyad, J. Gehrke, J. Han et al., Data mining curriculum: A proposal (version 1.0), Intensive Working Group of ACM SIGKDD Curriculum Committee, vol.140, 2006.

S. D?eroski, Multi-relational data mining, ACM SIGKDD Explorations Newsletter, vol.5, issue.1, pp.1-16, 2003.
DOI : 10.1145/959242.959245

E. Egho, C. Raïssi, D. Ienco, N. Jay, A. Napoli et al., Catherine Quantin, and Maguelonne Teisseire. Healthcare trajectory mining by combining multidimensional component and itemsets, International Workshop on New Frontiers in Mining Complex Patterns, pp.109-123, 2012.

L. Fahed, A. Brun, and A. Boyer, Extraction de règles d'épisodes minimales dans des séquences complexes, EGC, pp.545-548, 2014.

P. Fournier-viger, R. Nkambou, and E. M. Nguifo, A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems, Mexican International Conference on Artificial Intelligence, pp.765-778, 2008.
DOI : 10.1109/ITNG.2006.41

N. Minos, R. Garofalakis, K. Rastogi, and . Shim, Spirit: Sequential pattern mining with regular expression constraints, VLDB, pp.7-10, 1999.

J. David and . Hand, Principles of data mining, Drug safety, vol.30, issue.7, pp.621-622, 2007.

K. Hu, C. Zhang, and L. Chen, A Scalable Method of Mining Approximate Multidimensional Sequential Patterns on Distributed Systemts, 2007 International Conference on Machine Learning and Cybernetics, pp.762-766, 2007.
DOI : 10.1109/ICMLC.2007.4370246

Y. Kuo, C. Huang, and . Chang, Efficient mining of frequent episodes from complex sequences, Information Systems, vol.33, issue.1, pp.96-114, 2008.

R. Nizar, . Mabroukeh, I. Christie, and . Ezeife, A taxonomy of sequential pattern mining algorithms, ACM Computing Surveys (CSUR), vol.43, issue.1, p.3, 2010.

N. Padhy and R. Panigrahi, Multi relational data mining approaches: A data mining technique. arXiv preprint, 2012.

H. Paulheim, Exploiting linked open data as background knowledge in data mining, 1082.

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

M. Plantevit, A. Laurent, D. Laurent, M. Teisseire, and Y. W. Choong, Mining multidimensional and multilevel sequential patterns, ACM Transactions on Knowledge Discovery from Data, vol.4, issue.1, p.4, 2010.
DOI : 10.1145/1644873.1644877

URL : https://hal.archives-ouvertes.fr/hal-01381826

C. Raïssi and M. Plantevit, Mining Multidimensional Sequential Patterns over Data Streams, International Conference on Data Warehousing and Knowledge Discovery, pp.263-272, 2008.
DOI : 10.1007/978-3-540-85836-2_25

A. Siebes and Z. Struzik, Complex Data: Mining Using Patterns, Pattern Detection and Discovery, pp.24-35, 2002.
DOI : 10.1007/3-540-45728-3_3

URL : https://ir.cwi.nl/pub/11136/11136B.pdf

P. Songram and V. Boonjing, Closed multidimensional sequential pattern mining, International Journal of Knowledge Management Studies, vol.2, issue.4, pp.460-479, 2008.
DOI : 10.1504/IJKMS.2008.019752

C. Wu, Y. Lin, S. Philip, . Yu, S. Vincent et al., Mining high utility episodes in complex event sequences, Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '13, pp.536-544, 2013.
DOI : 10.1145/2487575.2487654

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.

C. Zhang, K. Hu, Z. Chen, L. Chen, and Y. Dong, ApproxMGMSP: A Scalable Method of Mining Approximate Multidimensional Sequential Patterns on Distributed System, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), pp.730-734, 2007.
DOI : 10.1109/FSKD.2007.192

URL : http://210.37.44.253/nc2007/fskd2007/data/volume 2/150-2-approxmgmsp.pdf