Advances in Knowledge Discovery and Management

Bruno Pinaud (1) , Fabrice Guillet (2) , Bruno Crémilleux (3) , Cyril de Runz (4)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 LS2N - Laboratoire des Sciences du Numérique de Nantes
3 Equipe CODAG - Laboratoire GREYC - UMR6072
4 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]; Réseaux sociaux et d'information [cs.SI]

Bruno Pinaud, Fabrice Guillet, Bruno Crémilleux, Cyril de Runz. Advances in Knowledge Discovery and Management: Volume 7. Springer, Cham; Springer International Publishing, 732, 2018, Studies in Computational Intelligence book series (SCI), 978-3-319-65405-8. ⟨10.1007/978-3-319-65406-5⟩. ⟨hal-01623910⟩