Mining association rules between sets of items in large databases, Proc. 17th Int. Conf. on Management of Data, pp.207-216, 1993. ,
Mining sequential patterns, Proceedings of the Eleventh International Conference on Data Engineering, pp.3-14, 1995. ,
DOI : 10.1109/ICDE.1995.380415
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.8, pp.1772-1786, 2013. ,
DOI : 10.1109/TKDE.2012.59
Mining Customer Loyalty Card Programs: The Improvement of Service Levels Enabled by Innovative Segmentation and Promotions Design, Exploring Services Science, pp.83-97, 2011. ,
DOI : 10.1145/342009.335372
Customer data mining for lifestyle segmentation, Expert Systems with Applications, vol.39, issue.10, pp.9359-9366, 2012. ,
DOI : 10.1016/j.eswa.2012.02.133
Mining frequent patterns without candidate generation, SIGMOD Int. Conf. on Management of Data, pp.1-12, 2000. ,
DOI : 10.1145/342009.335372
Debugging embedded multimedia application traces through periodic pattern mining, Proc. 12th Int. Conf. on Embedded Software, pp.13-22, 2012. ,
URL : https://hal.archives-ouvertes.fr/tel-01006213
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
Discovering Unbounded Episodes in Sequential Data, Proc. 7th European Conf. on Principles and Practice of Knowledge Discovery in Database, pp.83-94, 2003. ,
DOI : 10.1007/978-3-540-39804-2_10
Finding Segmentations of Sequences, Inductive Databases and Constraint-Based Data Mining, pp.177-197, 2010. ,
DOI : 10.1007/978-1-4419-7738-0_8
Efficient algorithms for sequence segmentation, Proc. SIAM Conference on Data Mining, pp.314-325, 2006. ,
DOI : 10.1137/1.9781611972764.28
URL : http://www.cs.helsinki.fi/u/terzi/TT06.pdf
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://www.cs.cornell.edu/johannes/papers/2002/kdd2002-spam.pdf
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets, Expert Systems with Applications, vol.39, issue.8, pp.7196-7206, 2012. ,
DOI : 10.1016/j.eswa.2012.01.062
Mining top-k frequent closed patterns without minimum support, Proc. Int. Conf. on Data Mining (ICDM), pp.211-218, 2002. ,
Mining Partially Periodic Patterns With Unknown Periods From Event Stream, Proc. 17th Int. Conf. on Data Engineering, pp.205-214, 2001. ,
DOI : 10.1007/978-1-4613-0231-5_15
Estimating the number of clusters in a data set via the gap statistic, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.63, issue.2, pp.411-423, 2001. ,
DOI : 10.1111/1467-9868.00293