Advances in Knowledge Discovery and Management, Vol. 8

Bruno Pinaud (1, 2) , Fabrice Guillet (3, 4, 5, 6) , Fabien Gandon , Christine Largeron

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 UB - Université de Bordeaux
3 EPUN - Ecole Polytechnique de l'Université de Nantes
4 LS2N - équipe DUKe - Data User Knowledge
5 LS2N - Laboratoire des Sciences du Numérique de Nantes
6 UN - Université de Nantes

This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.

Domaines: Informatique [cs]; Apprentissage [cs.LG]; Réseaux sociaux et d'information [cs.SI]

Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron (Dir.). Advances in Knowledge Discovery and Management, Vol. 8. Springer International Publishing, 834, 2019, Studies in Computational Intelligence, 978-3-030-18129-1 (eBook) 978-3-030-18128-4 (Hardcover). ⟨10.1007/978-3-030-18129-1⟩. ⟨hal-02143939⟩