Emeric Ostermeyer, Christophe Danjou
, Alexandre Durupt and Julien Le Duigou
Paper (2018)
An external link is available for this item
| Department: | Department of Mathematics and Industrial Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/41229/ |
| Conference Title: | 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018) |
| Conference Location: | Bergamo, Italy |
| Conference Date(s): | 2018-06-11 - 2018-06-13 |
| Journal Title: | IFAC-PapersOnLine (vol. 51, no. 11) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.ifacol.2018.08.300 |
| Official URL: | https://doi.org/10.1016/j.ifacol.2018.08.300 |
| Date Deposited: | 18 Apr 2023 15:03 |
| Last Modified: | 08 Apr 2025 12:22 |
| Cite in APA 7: | Ostermeyer, E., Danjou, C., Durupt, A., & Duigou, J. L. (2018, June). An ontology-based framework for the management of machining information in a data mining perspective [Paper]. 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), Bergamo, Italy. Published in IFAC-PapersOnLine, 51(11). https://doi.org/10.1016/j.ifacol.2018.08.300 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
