AAFD 2006: Villetaneuse, France

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Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2006, Université Paris 13, Institut Galilée, Villetaneuse, France, 27-28 avril 2006. RNTI A-2, Cépaduès-Éditions 2008, ISBN 978-2-85428-808-7
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Hanane Azzag, David Da Costa, Christiane Guinot, Gilles Venturini:
Un aperçu de la fouille visuelle de données. 1-14
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  - conf/aafd/Fogelman-Soulie06
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Françoise Fogelman-Soulié:
CRM Analytique - L'apport du Data Mining. 15-42
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Mustapha Lebbah, Mohamed Ramzi Temanni, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker:
Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. 43-64
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Sophie Aubin, Julien Derivière, Thierry Hamon, Adeline Nazarenko, Thierry Poibeau, Davy Weissenbacher:
Une infrastructure pour l'annotation linguistique de documents issus du web : le projet ALVIS. 65-84
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Amel Borgi:
Un raisonnement approximatif pour l'apprentissage supervisé de règles. 85-106
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Mondher Maddouri, Faouzi Mhamdi:
Construction d'attributs pour l'extraction de connaissances à partir de séquences biologiques. 107-134
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Emmanuel Viennet, Sébastien Guérif, Younès Bennani:
Réduction des dimensions des données en apprentissage artificiel. 135-165
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  - conf/aafd/MarcotorchinoB06
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François Marcotorchino, Hamid Benhadda:
L'analyse relationnelle pour la fouille de grandes bases de données. 165-184
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  - conf/aafd/AseervathamV06
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Sujeevan Aseervatham, Emmanuel Viennet:
Méthodes à noyaux appliquées aux textes structurés. 185-207
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  - conf/aafd/BonduL06
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Alexis Bondu, Vincent Lemaire:
État de l'art sur les méthodes statistiques d'apprentissage actif. 207-226

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