C. C. Aggarwal, Data Streams -Models and Algorithms, Database Systems, 2007.

M. Boley, C. Lucchese, D. Paurat, and T. Gärtner, Direct local pattern sampling by efficient two-step random procedures, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pp.582-590, 2011.
DOI : 10.1145/2020408.2020500

L. Cerf, J. Besson, K. N. Nguyen, and J. F. Boulicaut, Closed and noise-tolerant patterns in n-ary relations, Data Mining and Knowledge Discovery, vol.32, issue.2, pp.574-619, 2013.
DOI : 10.1007/s10618-012-0284-8

F. Diot, ´. E. Fromont, B. Jeudy, E. Marilly, and O. Martinot, Graph Mining for Object Tracking in Videos, LNCS, vol.7523, issue.1, pp.394-409, 2012.
DOI : 10.1007/978-3-642-33460-3_31

URL : https://hal.archives-ouvertes.fr/hal-00714705

B. Fernando, ´. E. Fromont, and T. Tuytelaars, Effective Use of Frequent Itemset Mining for Image Classification, pp.214-227, 2012.
DOI : 10.1007/978-3-642-33718-5_16

F. Geerts, B. Goethals, and T. Mielikäinen, Tiling Databases, In: Discovery Science. pp, pp.278-289, 2004.
DOI : 10.1007/978-3-540-30214-8_22

M. Grundmann, V. Kwatra, M. Han, and I. Essa, Efficient hierarchical graph-based video segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539893

M. Van-leeuwen and A. J. Knobbe, Diverse subgroup set discovery, Data Mining and Knowledge Discovery, vol.3, issue.1, pp.208-242, 2012.
DOI : 10.1007/s10618-012-0273-y

H. Lu, J. Vaidya, and V. Atluri, Optimal Boolean Matrix Decomposition: Application to Role Engineering, 2008 IEEE 24th International Conference on Data Engineering, pp.297-306, 2008.
DOI : 10.1109/ICDE.2008.4497438

URL : http://cimic.rutgers.edu/~jsvaidya/pub-papers/vaidya-icde08.pdf

R. Motwani and P. Raghavan, Randomized algorithms, 1995.

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Discovering Frequent Closed Itemsets for Association Rules, pp.398-416, 1999.
DOI : 10.1007/3-540-49257-7_25

URL : https://hal.archives-ouvertes.fr/hal-00467747

N. Remmerie, T. D. Vijlder, D. Valkenborg, K. Laukens, K. Smets et al., Unraveling tobacco BY-2 protein complexes with BN PAGE/LC???MS/MS and clustering methods, Journal of Proteomics, vol.74, issue.8, pp.1201-1217, 2011.
DOI : 10.1016/j.jprot.2011.03.023

URL : http://hdl.handle.net/10067/890430151162165141

K. Smets and J. Vreeken, The Odd One Out: Identifying and Characterising Anomalies, In: SDM. pp, pp.804-815, 2011.
DOI : 10.1137/1.9781611972818.69

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.853

N. Tatti and J. Vreeken, Discovering descriptive tile trees by mining optimal geometric subtiles, pp.9-24, 2012.
DOI : 10.1007/978-3-642-33460-3_6

J. Vaidya, V. Atluri, and Q. Guo, The role mining problem, ACM Transactions on Information and System Security, vol.13, issue.3, 2010.
DOI : 10.1145/1805974.1805983

J. Vreeken, M. Van-leeuwen, and A. Siebes, Krimp: mining itemsets that compress, Data Mining and Knowledge Discovery, vol.177, issue.1, pp.169-214, 2011.
DOI : 10.1007/s10618-010-0202-x