J. Besson, C. Robardet, and J. Boulicaut, Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery, ICCS'06, pp.144-157, 2006.
DOI : 10.1007/11787181_11

F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego et al., A constraint-based querying system for exploratory pattern discovery, Information Systems, vol.34, issue.1, pp.3-27, 2009.
DOI : 10.1016/j.is.2008.02.007

B. Bringmann and A. Zimmermann, The Chosen Few: On Identifying Valuable Patterns, Seventh IEEE International Conference on Data Mining (ICDM 2007), pp.63-72, 2007.
DOI : 10.1109/ICDM.2007.85

D. Burdick, M. Calimlim, J. Flannick, J. Gehrke, and T. Yiu, Mafia : A performance study of mining maximal frequent itemsets, FIMI, volume 90 of CEUR Workshop Proceedings. CEUR-WS.org, 2003.

T. Calders, C. Rigotti, and J. Boulicaut, A Survey on Condensed Representations for Frequent Sets, Constraint-Based Mining and Inductive Databases, pp.64-80, 2005.
DOI : 10.1007/11615576_4

L. De-raedt, T. Guns, and S. Nijssen, Constraint programming for itemset mining, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, 2008.
DOI : 10.1145/1401890.1401919

L. , D. Raedt, and A. Zimmermann, Constraint-based pattern set mining, 7th SIAM Int. Conf. on Data Mining. SIAM, 2007.

C. Gervet, Interval propagation to reason about sets: Definition and implementation of a practical language, Constraints, vol.16, issue.3?4, pp.191-244, 1997.
DOI : 10.1007/BF00137870

A. Giacometti, E. Khanjari-miyaneh, P. Marcel, and A. Soulet, A Framework for Pattern-Based Global Models, IDEAL'09, pp.433-440, 2009.
DOI : 10.1007/978-3-540-75549-4_12

M. Khiari, P. Boizumault, and B. Crémilleux, Allier CSPs et motifs locaux pour la découverte de motifs sous contraintes n-aires, EGC, volume RNTI-E-19, pp.199-210, 2010.

M. Khiari, P. Boizumault, and B. Crémilleux, Combining CSP and Constraint-Based Mining for Pattern Discovery, ICCSA'10, pp.432-447, 2010.
DOI : 10.1007/978-3-642-12165-4_35

URL : https://hal.archives-ouvertes.fr/hal-01016582

J. Kléma, S. Blachon, A. Soulet, B. Crémilleux, and O. Gandrillon, Constraint-based knowledge discovery from sage data, In Silico Biology, vol.8, issue.0014, 2008.

A. Knobbe, B. Crémilleux, J. Fürnkranz, and M. Scholz, From local patterns to global models : The lego approach to data mining, Int. Workshop LeGo co-located with ECML/PKDD'08, pp.1-16, 2008.

A. Knobbe and E. Ho, Pattern Teams, proceedings of the 10th ECML/PKDD'06, pp.577-584, 2006.
DOI : 10.1007/11871637_58

N. Mamoulis and K. Stergiou, Algorithms for Quantified Constraint Satisfaction Problems, proceedings of the 10th Int. Conf. CP'04, 2004.
DOI : 10.1007/978-3-540-30201-8_60

R. T. Ng, V. S. Lakshmanan, J. Han, and A. Pang, Exploratory mining and pruning optimizations of constrained associations rules, proceedings of ACM SIGMOD'98, pp.13-24, 1998.

S. Nijssen, T. Guns, and L. De-raedt, Correlated itemset mining in ROC space, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.647-655, 2009.
DOI : 10.1145/1557019.1557092

B. Padmanabhan and A. Tuzhilin, A belief-driven method for discovering unexpected patterns, KDD, pp.94-100, 1998.

E. Suzuki, UNDIRECTED DISCOVERY OF INTERESTING EXCEPTION RULES, International Journal of Pattern Recognition and Artificial Intelligence, vol.16, issue.08, pp.1065-1086, 2002.
DOI : 10.1142/S0218001402002155

L. Szathmary, A. Napoli, and P. Valtchev, Towards Rare Itemset Mining, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007), 2007.
DOI : 10.1109/ICTAI.2007.30

URL : https://hal.archives-ouvertes.fr/inria-00189424

G. Verger and C. Bessì-ere, Guiding Search in QCSP???+??? with Back-Propagation, CP'08, pp.175-189, 2008.
DOI : 10.1007/978-3-540-85958-1_12

URL : https://hal.archives-ouvertes.fr/lirmm-00329894

X. Yin and J. Han, CPAR: Classification based on Predictive Association Rules, proceedings of the 2003 SIAM Int. Conf. on Data Mining (SDM'03), 2003.
DOI : 10.1137/1.9781611972733.40