Extraction sous contraintes de motifs séquentiels
M. Capelle. Extraction de motifs séquentiels sous contraintes. Mémoire du DEA ECD, INSA Lyon - LISI, septembre 2001.
C. Masson, F. Jacquenet. Mining frequent logical sequences with SPIRIT-LoG. Proceedings of the 12th International Conference on Inductive Logic Programming ILP'02, Sydney (Australia), July 2002. Springer LNAI 2583. pp. 166-182.
H. Albert-Lorincz. Extraction à granularité variable de motifs séquentiels sous contraintes. Mémoire du DEA ECD, INSA Lyon - LISI, juin 2002.
M. Leleu, J-F. Boulicaut. Signing stock market situations by means of characteristic sequential patterns. Proceedings of the Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields Data Mining 2002, Bologna (I), September 2002. pp. 655-664. WIT Press.
C. Masson, F. Jacquenet. Découverte de séquences logiques fréquentes sous contraintes. Actes du 13e Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle RFIA'02, Angers (F), janvier 2002. pp. 673-684.
M. Capelle, J-F. Boulicaut, C. Masson. Extraction de motifs séquentiels sous contrainte de similarité. Actes des Journées francophone d'Extraction et de Gestion de Connaissances EGC'02. Montpellier (F), janvier 2002. Hermes. pp. 65-76.
M. Capelle, C. Masson, J-F. Boulicaut. Mining frequent sequential patterns under a similarity constraint. Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning IDEAL 2002, Manchester (UK), August 2002. Springer LNCS 2412. pp. 1-6.
H. Albert-Lorincz, J-F. Boulicaut. Mining frequent sequential patterns under regular expressions: a highly adaptive strategy for pushing constraints. Proceedings of the SIAM International Conference on Data Mining SDM'03, San Francisco (USA), May 2003. pp. 316-320.
M. Leleu, C. Rigotti, J-F. Boulicaut, G. Euvrard. GO-SPADE: mining sequential patterns over datasets with consecutive repetitions. Proceedings of the IAPR Third International Conference on Machine Learning and Data Mining in Pattern Recognition MLDM'03, Leipzig (D), July 2003. Springer LNCS 2734. pp. 293-306.
M. Leleu, C. Rigotti, J-F. Boulicaut, G. Euvrard. Constraint-based sequential pattern mining over datasets with consecutive repetitions. Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD 2003, Cavtat-Dubrovnik (HR), September 2003. Springer LNAI 2838. pp. 303-314.
H. Albert-Lorincz, J-F. Boulicaut. A framework for frequent sequence mining under generalized regular expression constraints. Proceedings of the 2nd International Workshop on Knowledge Discovery in Inductive Databases KDID'03 co-located with ECML/PKDD 2003, Cavtat-Dubrovnik (HR), September 2003. ISBN: 953-6690-34-9, pp. 2-16.
M. Leleu. Extraction de motifs séquentiels sous contraintes dans des données avec répétitions consécutives. Thèse de doctorat de l'INSA Lyon présentée le 9 janvier 2004.
N. Meger, C. Rigotti. Constraint-based mining of episode rules and optimal window sizes. Proceedings of the 8th European conferences on Principles and practice of Knowledge Discovery in Databases. PKDD 2004, Pisa (I), September 2004. Springer LNAI 3202, pp. 313-324.
M. Leleu, N. Meger, C. Rigotti. Extraction de motifs séquentiels fréquents sous contraintes dans des données contenant des répétitions consécutives. RSTI Ingénierie des Systèmes d’Information ISI 9(3/4):133-160, 2004.
N. Meger. Recherche automatique des fenêtres temporelles optimales de motifs séquentiels. Thèse de doctorat de l'INSA Lyon présentée le 15 décembre 2004.
I. Mitasiunaité. Vers des bases de données inductives pour l'étude de la régulation génique. Mémoire Master Recherche MR2 Mathématique et Informatique pour le Vivant Spécialité MBM, INSA Lyon, juillet 2005.
I. Mitasiunaité, J-F. Boulicaut. Looking for monotonicity properties of a similarity constraint on sequences. Proceedings of 2006 ACM Symposium of Applied Computing SAC'2006, Special Track on Data Mining, April 23 - 27, 2006, Dijon, France. ACM Press, pp. 546-552.
I. Mitasiunaité, J-F. Boulicaut. About softness for inductive querying on sequence databases. Proceedings 7th International Baltic Conference on Databases and Information Systems DB&IS 2006,Vilnius (LT), July 3-6, 2006. pp. 77-82. IEEE Computer Press.
M. Nanni and C. Rigotti. Quantitative episode trees. Proceedings of the 5th International Workshop on Knowledge Discovery in Inductive Databases KDID'06 co-located with ECML-PKDD 2006, Berlin (D), September 2006, pp 95-106.
M. Nanni and C. Rigotti. Extracting trees of quantitative serial episodes. Knowledge Discovery in Inductive Databases KDID'06 Revised Selected and Invited Papers, Springer LNCS 4747, pp. 170-198. 2007.
I. Mitasiunaité, J-F. Boulicaut. Introducing softness into inductive queries on string databases. Databases and Information Systems IV. Vol. 155 Frontiers in Artificial Intelligence and Applications. pp. 117-132. IOS, 2007.
H. Albert-Lorincz. Contribution aux techniques de prise de décision et de valorisation financière. Thèse de doctorat de l’INSA Lyon présentée le 6 juillet 2007.
J. Besson, C. Rigotti, I. Mitasiunaite, J-F. Boulicaut. Parameter tuning for differential mining of string patterns. Proceedings 2nd International Workshop on Domain Driven Data Mining DDDM'08 co-located with IEEE ICDM'08, Pisa, Italy, December 15, 2008. pp. 77-86. IEEE Computer Society.
I. Mitasiunaite. Mining string data under similarity and soft-frequency constraints: Application to promoter sequence analysis. Thèse de doctorat de l'INSA Lyon présentée le 19 mai 2009.
B. Cule, B. Goethals, C. Robardet. A new constraint for mining sets in sequences. Proceedings SIAM International Conference on Data Mining SDM'09, Sparks, Nevada, USA. pp. 317-328. 2009
M. Plantevit, T. Charnois, J. Klema, C. Rigotti and B. Cremilleux. Combining Sequence and Itemset Mining to Discover Named Entities in Biomedical Texts: A New Type of Pattern. International Journal of Data Mining, Modelling and Management. 1(2), pp. 119-148, 2009