R. Agrawal, T. Imieli´nskiimieli´nski, and A. Swami, Mining association rules between sets of items in large databases, ACM SIGMOD Record, vol.22, issue.2, pp.207-216, 1993.
DOI : 10.1145/170036.170072

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

B. Bringmann and S. Nijssen, What Is Frequent in a Single Graph?, Advances in Knowledge Discovery and Data Mining, pp.858-863, 2008.
DOI : 10.1007/978-3-540-68125-0_84

S. Björn-bringmann, A. Nijssen, and . Zimmermann, Pattern-based classification: A unifying perspective, p.36, 2009.

P. Fournier-viger, A. Gomariz, A. Soltani, H. Lam, and T. Gueniche, Spmf: Opensource data mining platform, 2014.

J. Han, H. Cheng, D. Xin, and X. Yan, Frequent pattern mining: current status and future directions, Data Mining and Knowledge Discovery, vol.1, issue.1, pp.55-86, 2007.
DOI : 10.1007/s10618-006-0059-1

K. Hansen, S. Mika, T. Schroeter, A. Sutter, A. Ter-laak et al., Benchmark data set for in silico prediction of ames mutagenicity, Journal of Chemical Information and Modeling, 2009.

N. Jindal and B. Liu, Opinion spam and analysis, Proceedings of the international conference on Web search and web data mining , WSDM '08, pp.219-230, 2008.
DOI : 10.1145/1341531.1341560

M. Kuramochi and G. Karypis, Frequent subgraph discovery, Proceedings 2001 IEEE International Conference on Data Mining, pp.313-320, 2001.
DOI : 10.1109/ICDM.2001.989534

H. Mannila and H. Toivonen, Levelwise search and borders of theories in knowledge discovery, Data Mining and Knowledge Discovery, vol.1, issue.3, pp.241-258, 1997.
DOI : 10.1023/A:1009796218281

J. Pei, H. Pinto, Q. Chen, J. Han, B. Mortazavi-asl et al., Prefixspan: Mining sequential patterns efficiently by prefix-projected pattern growth, 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp.215-0215, 2001.

J. Rabatel, S. Bringay, and P. Poncelet, Contextual Sequential Pattern Mining, 2010 IEEE International Conference on Data Mining Workshops, pp.981-988, 2010.
DOI : 10.1109/ICDMW.2010.182

URL : https://hal.archives-ouvertes.fr/lirmm-00670950

J. Rabatel, S. Bringay, and P. Poncelet, Mining Sequential Patterns: A Context-Aware Approach, Advances in Knowledge Discovery and Management, pp.23-41, 2013.
DOI : 10.1007/978-3-642-35855-5_2

URL : https://hal.archives-ouvertes.fr/lirmm-00732659