TY - Type of reference TI - A machine learning methodology for decision support in a Computer Aided Manufacturing context AU - Emeric Ostermeyer AU - Christophe Danjou AU - Alexandre Durupt AU - Julien Le Duigou AB - The evolution of data mining techniques, as well as the increase in storage and computing capacity, in all areas, is generating interest of the data produced. In this way, manufacturing is no exception. Given the amount of data created when writing the various programs to be played on CNC machines, the application of data mining techniques to capitalize industrialization knowledge is considered. This paper concerns the structuring of an Industrialization Knowledge Base system, able to provide a programmer decision support, based on a corpus of documents relating to the machining of parts produced in the past, and thus assisting him in the production of a new part. The system uses data mining techniques to extract this information and deliver it to the programmer. DO - 10.21494/ISTE.OP.2019.0428 JF - Industrial and Systems Engineering KW - Computer Aided Manufacturing, decision support, machine learning, Knowledge Based Engineering, Fabrication Assisté par Ordinateur, Aide à la décision, apprentissage automatique, Système à base de connaissances, L1 - https://www.openscience.fr/IMG/pdf/iste_induprod19v2nspe_5.pdf LA - en PB - ISTE OpenScience DA - 2019/12/17 SN - 2632-5993 TT - Une méthodologie d’apprentissage automatique pour l’aide à la décision en contexte d’industrialisation UR - https://www.openscience.fr/A-machine-learning-methodology-for-decision-support-in-a-Computer-Aided IS - Numéro Spécial Lean et industrie du futur VL - 2 ER -