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Combinaison de classification supervisée et non-supervisée par la théorie des fonctions de croyance

Mme Fatma Karem

M. Mounir Dhibi

M. Arnaud Martin


Durée :

12e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances

Du au

Domaine du Haut Carré, Bordeaux

EGC - Association Internationale Francophone d'Extraction et de Gestion des Connaissances

Dans le prolongement des éditions précédentes, EGC 2012 ambitionne de regrouper chercheurs, industriels et utilisateurs francophones issus des communautés Bases de Données, Apprentissage, Représentation des Connaissances, Gestion de Connaissances, Statistique et Fouille de données.
Aujourd'hui, avec le développement des nouvelles technologies, de plus en plus de données sont générées. Aussi il devient indispensable de proposer des méthodes et des outils capables de les acquérir, de les stocker, de les représenter, de les indexer, de les intégrer, de les classifier, d'extraire les connaissances pertinentes pour les décideurs et de les visualiser. Pour répondre à cette attente, de nombreux projets de recherche se développent autour de l'extraction de connaissances à partir de données (Knowledge Discovery in Data), ainsi que sur la gestion de connaissances (Knowledge Management).
L'objectif de la conférence EGC 2012 est de rassembler, d'une part les chercheurs des disciplines connexes (apprentissage, statistique et analyse de données, systèmes d'information et bases de données, ingénierie des connaissances, etc.), et d'autre part les spécialistes d'entreprises qui déploient des méthodes d'extraction et de gestion des connaissances, afin de contribuer à la formation d'une communauté scientifique dans le monde francophone autour de cette doublethématique de l'extraction et de la gestion de connaissances (cf. les thèmes de la conférence).
Cette manifestation vise à stimuler le développement de la communauté EGC en offrant un lieu privilégié d'échanges entre chercheurs et spécialistes industriels, d'où devraient émerger les besoins et enjeux futurs de la discipline.

http://egc2012.labri.fr/

Thème(s) : Numérique

Sciences fondamentales

Producteur : Université Bordeaux 1

Réalisateur : Université Bordeaux 1

Ouverture

Conférencier invité, présidente d'honneur : Mining Genetic Interactions in Genome-Wide Association Study

Mme Wei Wang

University of North Carolina Wei Wang is a professor in the Department of Computer Science and a member of the Carolina Center for Genomic Sciences at the University of North Carolina at Chapel Hill. She received a MS degree from the State University of New York at Binghamton in 1995 and a PhD degree in Computer Science from the University of California at Los Angeles in 1999. She was a research staff member at the IBM T. J. Watson Research Center between 1999 and 2002. Dr. Wang's research interests include data mining, bioinformatics, and databases. She has filed seven patents, and has published one monograph and more than one hundred research papers in international journals and major peer-reviewed conference proceedings. Dr. Wang received the IBM Invention Achievement Awards in 2000 and 2001. She was the recipient of a UNC Junior Faculty Development Award in 2003 and an NSF Faculty Early Career Development (CAREER) Award in 2005. She was named a Microsoft Research New Faculty Fellow in 2005. She was recently honored with the 2007 Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement at UNC. Dr. Wang is an associate editor of the IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Knowledge Discovery in Data, and an editorial board member of the International Journal of Data Mining and Bioinformatics. She serves on the program committees of prestigious international conferences such as ACM SIGMOD, ACM SIGKDD, VLDB, ICDE, EDBT, ACM CIKM, IEEE ICDM, and SSDBM. Publications and home page of Wei Wang : http://www.cs.unc.edu/~weiwang/

Session 1.1 - Analyse des données

Conférencier invité

Relational Learning from Spatial Data: Retrospect and Prospect

M. Donato Malerba

University of Bari Donato Malerba is a full professor at the Department of Informatics, University of Bari, where he teaches in the courses of "Algorithms and Data Structures", "Advanced Data Base Systems", and "Knowledge Bases and Data Mining". In 1992 he was assistant specialist at the Institute of Computer Science, University of California, Irvine. His research activity mainly concerns machine learning and data mining, in particular numeric-symbolic methods for inductive inference, classification and model trees, (multi-)relational data mining, spatial data mining, web mining, and their applications to intelligent document processing and digital map interpretation. He has published more than 150 papers in international journals and conference proceedings. He was in the Management Board of the European Coordinated Action FP6-021321 "KDUbiq - Knowledge Discovery in Ubiquitous Environments" (December 2005 - May 2008) and in the Management Board of the European project IST-2001-33086 "KDNet - European Knowledge Discovery Network of Excellence" (2002 - 2004). He participated to several European and National projects. He was responsible of the unit of Bari in the European project IST-1999-10536 SPIN (Spatial Mining on Data of Public Interest) and in two MIUR COFIN projects (years 1999-2001, 2001-2003). He is responsible of a research unit of the strategic project PS121 "Telecommunication Facilities and Wireless Sensor Networks in Emergency Management" funded by Apulia Region. He has received the IBM Faculty Award for the year 2004. He has been in the executive board of the Italian Association for Artificial Intelligence (AI*IA) from September 2001 till September 2005. He has served in the program committee of many international conferences and workshops of machine learning and data mining, co-chaired seven international/national workshops and acted as guest-editor of six special issues of international journals (topics: machine learning in computer vision, mining official data, visual data mining, spatio-temporal data mining, artificial intelligence, multi-relational data mining). He was program co-chair of the 18th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems (IEA-AIE'05), Bari, June 2005, and of the 16th International Symposium on Methodologies for Intelligent Systems (ISMIS'06), Bari, September 2006. He is program co-chair of the conference ECML/PKDD which will be held in Athens, Greece, next September 2011. He is in the editorial board of Machine Learning Journal, Journal of Intelligent Information Systems, and International Journal of Data Mining, Modelling and Management. Publications and home page of Donato Malerba : http://www.di.uniba.it/~malerba/

Session 2.1 - Extraction de motifs I

EVers une approche efficace d''extraction de motifs spatio-séquentiels

M. Hugo Alatrista Salas

Mme Sandra Bringay

M. Frédéric Flouvat

Mme Nazha Selmaoui-Folcher

Mme Maguelonne Teisseire

Session 3.1 - Données textuelles et non structurées

Apprentissage par analyse factorielle discriminante des paramètres de fusion pour la recherche d''information multimédia texte-image

M. Christophe Moulin

Mme Christine Largeron

Mme Cécile Barat

M. Mathias Géry

M. Christophe Ducottet

Segmentation de fichiers logs

M. Hassan Saneifar

M. Pascal Poncelet

M. Mathieu Roche

M. Stéphane Bonniol