TY  - Type of reference 
TI  - A machine learning methodology for decision support in a Computer Aided Manufacturing context 
AU  - Julien Le Duigou 
AU  - Emeric Ostermeyer 
AU  - Christophe Danjou 
AU  - Alexandre Durupt 
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  - http://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  - http://openscience.fr/A-machine-learning-methodology-for-decision-support-in-a-Computer-Aided 
IS  - Numéro Spécial Lean et industrie du futur  
VL  - 2 
ER  -