A. Achar and P. Sastry, Pattern-growth based frequent serial episode discovery, Data & Knowledge Engineering, vol.87, pp.91-108, 2013.
DOI : 10.1016/j.datak.2013.06.005

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

C. Cho, Y. Wu, S. Yen, Y. Zheng, C. et al., On-line rule matching for event prediction, The VLDB Journal, vol.1, issue.3, pp.303-334, 2011.
DOI : 10.1007/s00778-010-0197-3

M. Gan and H. Dai, Fast mining of nonderivable episode rules in complex sequences, Modeling Decision for Artificial Intelligence, 2011.

K. Huang and C. Chang, Efficient mining of frequent episodes from complex sequences, Information Systems, vol.33, issue.1, pp.96-114, 2008.
DOI : 10.1016/j.is.2007.07.003

S. Laxman, P. Sastry, and K. Unnikrishnan, A fast algorithm for finding frequent episodes in event streams, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, 2007.
DOI : 10.1145/1281192.1281238

S. Laxman and P. S. Sastry, A survey of temporal data mining, Sadhana, vol.21, issue.1???2, p.31, 2006.
DOI : 10.1007/BF02719780

J. Luo and S. M. Bridges, Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection, International Journal of Intelligent Systems, vol.27, issue.8, pp.687-703, 2000.
DOI : 10.1002/1098-111X(200008)15:8<687::AID-INT1>3.0.CO;2-X

H. Mannila, H. Toivonen, and A. I. Verkamo, Discovery of frequent episodes in event sequences, Data Mining and Knowledge Discovery, vol.1, issue.3, pp.259-289, 1997.
DOI : 10.1023/A:1009748302351

N. Méger and C. Rigotti, Constraint-Based Mining of Episode Rules and Optimal Window Sizes, PKDD 2004, pp.313-324, 2004.
DOI : 10.1007/978-3-540-30116-5_30

S. Neeraj and L. S. Swati, Overview of nonredundant association rule mining, Research Journal of Recent Sciences ISSN, p.22772502, 2012.

A. Ng, A. W. Fu, and -. , Mining Frequent Episodes for Relating Financial Events and Stock Trends, Advances in Knowledge Discovery and Data Mining, pp.27-39, 2003.
DOI : 10.1007/3-540-36175-8_4

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Discovering Frequent Closed Itemsets for Association Rules, Database Theory-ICDT, pp.398-416, 1999.
DOI : 10.1007/3-540-49257-7_25
URL : https://hal.archives-ouvertes.fr/hal-00467747

I. Rahal, D. Ren, W. Wu, and W. Perrizo, Mining confident minimal rules with fixedconsequents, 16th IEEE ICTAI, 2004.