Bases de données inductives et langages de requêtes

• J-F. Boulicaut, M. Klemettinen, H. Mannila. Querying inductive databases: a case study on the MINE RULE operator. Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery PKDD'98, Nantes (F), September 1998, Springer LNAI 1510, pp. 194-202.

• J-F. Boulicaut, M. Klemettinen, H. Mannila. Modeling KDD Processes within the Inductive Database Framework. Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery DaWaK'99, Florence (I), September 1999. Springer LNCS 1676, pp. 293-302.

• J-F. Boulicaut. Query Languages for Knowledge Discovery in Databases (tutorial abstract). Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery PKDD'99, Prague (CZ), September 1999, Springer LNAI 1704, pp. 382-383.

• J.F. Boulicaut, P. Marcel, C. Rigotti. Query driven Knowledge Discovery in Multidimensional Data. Proceedings of the ACM Second International Workshop on Data Warehousing and OLAP DOLAP'99, Kansas City (USA), November 1999. ACM Press, pp.87-93.

• J-F. Boulicaut. The Inductive Database framework - a long-term perspective on query languages for data mining (invited talk). Proceedings of the Workshop Database Support for KDD co-located with ECML/PKDD’01, Freiburg (D), September 2001. pp. 1.

• J-F. Boulicaut, P. Marcel, C. Rigotti. Query driven knowledge discovery via OLAP manipulations. Actes des 17ème Journées Bases de Données Avancées BDA'01, Agadir (Maroc), Octobre 2001. Cepadues Editions. pp. 311-323.

• M. Botta, J-F. Boulicaut, C. Masson, R. Meo. A comparison between query languages for the extraction of association rules. Proceedings of the Fourth International Conference on Data Warehousing and Knowledge Discovery DaWaK'02, Aix-en-Provence (F), September 2002. Springer LNCS 2454. pp. 1-10.

• J-F. Boulicaut. Les bases de données inductives : une approche structurante pour la fouille de données. Conférence invitée Conférence d’Apprentissage Automatique CAp’04, Montpellier (F), juin 2004.

• J-F. Boulicaut. Extraction de motifs sous contraintes et bases de données inductives. Conférence invitée aux premières journées francophones de programmation par contraintes JFPC’05, Lens (F), juin 2005, pp. 1.

• M. Botta, J-F. Boulicaut, C. Masson, R. Meo. Query languages supporting descriptive rule mining: a comparative study. Database support for Data Mining Applications Applications - Discovering Knowledge with Inductive Queries,  R. Meo, P-L. Lanzi and M. Klemettinen Eds., Springer LNCS 2682. pp. 27-54, 2004.

• J-F. Boulicaut. Inductive databases and multiple uses of frequent itemsets: the cInQ approach. Database support for Data Mining Applications - Discovering Knowledge with Inductive Queries, R. Meo, P-L. Lanzi and M. Klemettinen Eds., Springer LNCS 2682. pp. 3-26, 2004.

• J-F. Boulicaut, C. Masson. Data mining query languages. Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach Editors, Springer, pp. 715-727, 2005.

• J-F. Boulicaut, B. Jeudy. Constraint-based data mining. Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach Editors, Springer, pp. 399-416, 2005.

• C. Masson. Contribution au cadre des bases de données inductives : formalisation et évaluation de scénarios d’extraction de connaissances. Thèse de doctorat de l’INSA Lyon présentée le 7 juillet 2005.

• H. Blockeel, T. Calders, E. Fromont, B. Goethals, A. Prado, C. Robardet. An Inductive Database Prototype Based on Virtual Mining Views In 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Las Vegas, USA. pp. 1061-1064. 2008.

• J-F. Boulicaut. If constraint-based mining is the answer: what is the constraint? (invited abstract) Proceedings International Workshop on Semantics Aspects of Data Mining SADM'08 co-located with IEEE ICDM'08, Pisa, Italy, December 19, 2008. pp. 730. IEEE Computer Society.