Autres applications de la fouille de données

  1.  J-F. Boulicaut. A formal framework for database audit. Proceedings of the Eight Annual Workshop on Information Technologies and Systems WITS'98, Helsinki (FIN), December 1998, pp 257-266.

  2. J-F. Boulicaut. A KDD framework for database audit. Information Technology and Management international journal 1(3):195-207, 2000.

  3. A. Bykowski, L. Gomez-Chantada. Frequent Itemset Extraction in Highly-Correlated Data: a Web Usage Mining Application. Proceedings of the International Workshop on Web Knowledge Discovery and Data Mining WKDDM'00, Kyoto (JP), April 2000. pp. 15-23.

  4. L. Gomez-Chantada. Règles d'association et WWW Usage Mining. Mémoire du DEA DISIC, INSA Lyon - LISI, Juillet 2000.  

  5. J-F. Boulicaut, A. Bykowski, and L. Gomez-Chantada. Association Rule Discovery in Highly-Correlated Data: a Case Study in Web Usage Mining Application. Proceedings of Challenges of the 2000 ADBIS-DASFAA Symposium on Advances in Databases and Information Systems, Praha (CZ), September 2000. Matfyz Press, ISBN 80-85863-56-1, pp. 46-55.

  6. J-F. Boulicaut. Unsupervized machine learning from WWW logs: a case study on association rule mining. Proceedings of the third International Conference on Human-System Learning CAPS'3, Paris (F), December 2000. Europia. pp. 193-194.

  7. M. Leleu, J-F. Boulicaut, T. Breidenstein. Recherche de cas similaires en présence de données qualitatives et quantitatives par l'extraction de motifs séquentiels. Actes des posters de la conférence CAP'01, Plate-Forme AFIA 2001, Grenoble (F), Juin 2001, 2 pages.

  8. E. Ardizzone, T. Daurel, U. Maniscalco, C. Rigotti. Extraction of Association Rules between Low-Level Descriptors and Semantic Descriptors in an Image Database Proceedings of the 1st International Workshop on Multimedia Data and Document Engineering MDDE 2001, Lyon (F), July 2001. 6 pages.

  9. J-F. Boulicaut, B. Crémilleux. Delta-strong classification rules for predicting collagen diseases. Proceedings of the PKDD'01 Discovery Challenge on Thrombosis Data co-located with ECML/PKDD’01, Freiburg (D), September 2001. pp. 29-38.

  10. J-F. Boulicaut, B. Crémilleux. Delta-strong classification rules for characterizing chemical carcinogens. Proceedings of the Predictive Toxicology Challenge 2000-2001 co-located with ECML/PKDD’01, Freiburg (D), September 2001. 8 p.

  11. M. Leleu, J-F. Boulicaut. Signature de situations boursières représentées par des séquences d'événements. Actes des Journées francophone d'Extraction et de Gestion de Connaissances EGC'02. Montpellier (F), janvier 2002. Hermes. pp. 89-100.

  12. 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.

  13. K. Hatonen, J-F. Boulicaut, M. Klemettinen, M. Miettinen, C. Masson. Comprehensive log compression with frequent patterns. Proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery DaWaK 2003, Prague (CZ),  September 2003. Springer LNCS 2737, pp. 360-370.

  14. N. Meger, C. Leschi, C. Rigotti. Mining episode rules in STULONG dataset. Proceedings of the ECML/PKDD 2004 Discovery Challenge, Pisa (I), September 2004, 12 pages.

  15. A.J. Wilson, M. P. Morgenstern, B. Pfarhinger, C. Leschi. Data mining bread quality and process data in a plant bakery. Proceedings 12th ICC Cereal and Bread Congress, May 2004, Harrogate, U.K, 5 pages.

  16. H. Albert-Lorincz, J-F. Boulicaut. Amélioration des indicateurs techniques pour l'analyse du marché financier. Actes des 6ème Journées Francophones Extraction et Gestion de Connaissances EGC'06, Lille(F), janvier 2006, Cepadues RNTI-E-6, pp. 693-704.