A. Appice, M. Ceci, and D. Malerba, Mining Model Trees: A Multi-relational Approach, ILP'03, pp.4-21
DOI : 10.1007/978-3-540-39917-9_3

H. Mannila, B. Goethals, and W. L. Page, Mining association rules of simple conjunctive queries, SDM'08, pp.96-107

T. Calders, B. Goethals, and S. Jaroszewicz, Mining rank-correlated sets of numerical attributes, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.96-105
DOI : 10.1145/1150402.1150417

L. Dehaspe and H. Toivonen, Discovery of frequent datalog patterns, DMKD, vol.3, issue.1, pp.7-36, 1999.

L. Di-jorio, A. Laurent, and M. Teisseire, Mining Frequent Gradual Itemsets from Large Databases, IDA'09, pp.297-308
DOI : 10.1007/3-540-44794-6_20

L. D?eroski and N. Lavra?, Relational data mining, 2001.

P. A. Flach and N. Lachiche, Naive Bayesian Classification of Structured Data, Machine Learning, vol.57, issue.3, pp.233-269, 2004.
DOI : 10.1023/B:MACH.0000039778.69032.ab

N. Friedman, L. Getoor, D. Koller, and A. Pfeffer, Learning probabilistic relational models, IJCAI'99, pp.1300-1309

B. Goethals, W. L. Page, and M. Mampaey, Mining interesting sets and rules in relational databases, Proceedings of the 2010 ACM Symposium on Applied Computing, SAC '10, pp.997-1001
DOI : 10.1145/1774088.1774299

E. Hüllermeier, Association rules for expressing gradual dependencies, pp.200-211, 2002.

A. Koopman and A. Siebes, Characteristic relational patterns, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.437-446
DOI : 10.1145/1557019.1557071

A. Koopman and A. Siebes, Discovering Relational Item Sets Efficiently, SDM'08, pp.108-119
DOI : 10.1137/1.9781611972788.10

E. K. Ng, A. W. Fu, and K. Wang, Mining association rules from stars, ICDM'02, pp.322-329

S. Nijssen and J. Kok, Efficient Frequent Query Discovery in Farmer, PKDD'03, pp.350-362
DOI : 10.1007/978-3-540-39804-2_32

W. L. Page, Mining patterns in relational databases, 2009.

E. Spyropoulou and T. D. Bie, Interesting multirelational patterns, ICDM'11, pp.675-684

F. Zelezn´yzelezn´y and N. Lavrac, Propositionalization-based relational subgroup discovery with rsd, ML, vol.62, issue.1 2, pp.33-63, 2006.

N. Phan, D. Ienco, P. Poncelet, and M. Teisseire, Mining time relaxed gradual moving object clusters, ACM SIGSPATIAL'12, pp.478-481

N. Phan, D. Ienco, P. Poncelet, and M. Teisseire, Mining Representative Movement Patterns through Compression, PAKDD'13, pp.341-326

J. Nin, A. Laurent, and P. Poncelet, Speed Up Gradual Rule Mining from Stream Data! A B-Tree and OWAbased Approach, JIIS, vol.353, pp.447-463, 2010.
URL : https://hal.archives-ouvertes.fr/lirmm-00798704