R. Agrawal and R. Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proc. of the 20th Intl. Conf. on Very Large Data Bases (VLDB '94), pp.487-499, 1994.

Y. Bastide, R. Taouil, N. Pasquier, G. Stumme, and L. Lakhal, Mining Minimal Non- Redundant Association Rules Using Frequent Closed Itemsets Volume 1861 of LNAI, Proc. of the Computational Logic (CL '00), pp.972-986, 2000.

M. Kryszkiewicz, Concise Representations of Association Rules, Proc. of the ESF Exploratory Workshop on Pattern Detection and Discovery, pp.92-109, 2002.
DOI : 10.1007/3-540-45728-3_8

B. Ganter and R. Wille, Formal concept analysis: mathematical foundations, 1999.

N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal, Discovering Frequent Closed Itemsets for Association Rules, Proc. of the 7th Intl. Conf. on Database Theory (ICDT '99), pp.398-416, 1999.
DOI : 10.1007/3-540-49257-7_25

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

G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal, Computing iceberg concept lattices with Titanic, Data & Knowledge Engineering, vol.42, issue.2, pp.189-222, 2002.
DOI : 10.1016/S0169-023X(02)00057-5

URL : https://hal.archives-ouvertes.fr/hal-00578830

M. J. Zaki and C. J. Hsiao, CHARM: An Efficient Algorithm for Closed Itemset Mining, SIAM Intl. Conf. on Data Mining (SDM' 02), pp.33-43, 2002.
DOI : 10.1137/1.9781611972726.27

M. J. Zaki, Mining Non-Redundant Association Rules, Data Mining and Knowledge Discovery, vol.9, issue.3, pp.223-248, 2004.
DOI : 10.1023/B:DAMI.0000040429.96086.c7

M. J. Zaki and C. J. Hsiao, Efficient algorithms for mining closed itemsets and their lattice structure, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.462-478, 2005.
DOI : 10.1109/TKDE.2005.60

M. J. Zaki and N. Ramakrishnan, Reasoning about sets using redescription mining, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining , KDD '05, pp.364-373, 2005.
DOI : 10.1145/1081870.1081912

R. Godin and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science, vol.133, issue.2, pp.387-419, 1994.
DOI : 10.1016/0304-3975(94)90195-3

J. L. Pfaltz, Incremental Transformation of Lattices: A Key to Effective Knowledge Discovery, Proc. of the First Intl. Conf. on Graph Transformation (ICGT '02), pp.351-362, 2002.
DOI : 10.1007/3-540-45832-8_26

L. Floc-'h, A. Fisette, C. Missaoui, R. Valtchev, P. Godin et al., JEN : un algorithme efficace de construction de générateurs pour l'identification des r` egles d'association. Spec. num, pp.135-146, 2003.

L. Szathmary, P. Valtchev, A. Napoli, and R. Godin, Constructing Iceberg Lattices from Frequent Closures Using Generators, In: Discovery Science, vol.5255, pp.136-147, 2008.
DOI : 10.1007/978-3-540-88411-8_15

URL : https://hal.archives-ouvertes.fr/inria-00331524

L. Szathmary, P. Valtchev, A. Napoli, and R. Godin, Efficient Vertical Mining of Frequent Closures and Generators, Proc. of the 8th Intl. Symposium on Intelligent Data Analysis (IDA '09, pp.393-404, 2009.
DOI : 10.1007/978-3-540-88411-8_15

URL : https://hal.archives-ouvertes.fr/inria-00618805

J. F. Boulicaut, A. Bykowski, and C. Rigotti, Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries, Data Mining and Knowledge Discovery, vol.7, issue.1, pp.5-22, 2003.
DOI : 10.1023/A:1021571501451

URL : https://hal.archives-ouvertes.fr/hal-01503814

T. Calders, C. Rigotti, and J. F. Boulicaut, A Survey on Condensed Representations for Frequent Sets, Constraint-Based Mining and Inductive Databases, pp.64-80, 2004.
DOI : 10.1007/11615576_4

J. Pei, J. Han, and R. Mao, CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets, In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp.21-30, 2000.

M. J. Zaki, S. Parthasarathy, M. Ogihara, and W. Li, New Algorithms for Fast Discovery of Association Rules, Proc. of the 3rd Intl. Conf. on Knowledge Discovery in Databases, pp.283-286, 1997.

M. J. Zaki, Scalable algorithms for association mining, IEEE Transactions on Knowledge and Data Engineering, vol.12, issue.3, pp.372-390, 2000.
DOI : 10.1109/69.846291

M. J. Zaki and K. Gouda, Fast vertical mining using diffsets, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.326-335, 2003.
DOI : 10.1145/956750.956788

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5466

T. Uno, T. Asai, Y. Uchida, and H. Arimura, LCM: An Efficient Algorithm for Enumerating Frequent Closed Item Sets, FIMI. Volume 90 of CEUR Workshop Proceedings., CEUR-WS.org, 2003.

T. Uno, M. Kiyomi, and H. Arimura, LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets, CEUR Workshop Proceedings., CEUR-WS.org, 2004.
DOI : 10.1145/1133905.1133916

J. Wang, J. Han, and J. Pei, CLOSET+, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.236-245, 2003.
DOI : 10.1145/956750.956779

B. Vo, T. P. Hong, and B. Le, 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

T. Calders and B. Goethals, Depth-First Non-Derivable Itemset Mining, Proc. of the SIAM Intl. Conf. on Data Mining (SDM '05), 2005.
DOI : 10.1137/1.9781611972757.23

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.7914

C. Berge, Hypergraphs: Combinatorics of Finite Sets, 1989.

T. Eiter and G. Gottlob, Identifying the Minimal Transversals of a Hypergraph and Related Problems, SIAM Journal on Computing, vol.24, issue.6, pp.1278-1304, 1995.
DOI : 10.1137/S0097539793250299

J. L. Pfaltz and C. M. Taylor, Scientific Knowledge Discovery through Iterative Transformation of Concept Lattices, Proc. of the Workshop on Discrete Applied Mathematics in conjunction with the 2nd SIAM Intl. Conf. on Data Mining, pp.65-74, 2002.

L. Szathmary, A. Napoli, and S. O. Kuznetsov, ZART: A Multifunctional Itemset Mining Algorithm, Proc. of the 5th Intl. Conf. on Concept Lattices and Their Applications (CLA '07), pp.26-37, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00189423

L. Szathmary, P. Valtchev, and A. Napoli, Efficient Mining of Frequent Closures with Precedence Links and Associated Generators, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00322798

J. Baixeries, L. Szathmary, P. Valtchev, and R. Godin, Yet a Faster Algorithm for Building the Hasse Diagram of a Galois Lattice, Proc. of the 7th Intl. Conf. on Formal Concept Analysis (ICFCA '09, pp.162-177, 2009.

N. Pasquier, Mining association rules using formal concept analysis, Proc. of the 8th Intl. Conf. on Conceptual Structures (ICCS '00), Shaker-Verlag, pp.259-264, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00467752

J. Li, H. Li, L. Wong, J. Pei, and G. Dong, Minimum Description Length Principle: Generators Are Preferable to Closed Patterns, pp.409-414, 2006.

A. Philippon, G. Arlet, and G. A. Jacoby, Plasmid-Determined AmpC-Type ??-Lactamases, Antimicrobial Agents and Chemotherapy, vol.46, issue.1, pp.1-11, 2002.
DOI : 10.1128/AAC.46.1.1-11.2002

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC126993

T. Schwartz, W. Kohnen, B. Jansen, and U. Obst, Detection of antibiotic-resistant bacteria and their resistance genes in wastewater, surface water, and drinking water biofilms, FEMS Microbiology Ecology, vol.43, issue.3, pp.325-335, 2003.
DOI : 10.1111/j.1574-6941.2003.tb01073.x

A. Boc, H. Philippe, and V. Makarenkov, Inferring and Validating Horizontal Gene Transfer Events Using Bipartition Dissimilarity, Systematic Biology, vol.59, issue.2, pp.195-211, 2010.
DOI : 10.1093/sysbio/syp103

A. B. Gjuvsland, B. J. Hayes, S. W. Omholt, and O. Carlborg, Statistical Epistasis Is a Generic Feature of Gene Regulatory Networks, Genetics, vol.175, issue.1, pp.411-420, 2007.
DOI : 10.1534/genetics.106.058859