Angie Nguyen, Omar Bougacha, Béranger Lekens, Samir Lamouri, Robert Pellerin
and Christophe Couvreur
Paper (2022)
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| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: |
CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation IVADO - Institute for Data Valorization |
| PolyPublie URL: | https://publications.polymtl.ca/54101/ |
| Conference Title: | International Conference on ENTERprise Information Systems (CENTERIS 2022) |
| Conference Location: | Lisbon, Portugal |
| Conference Date(s): | 2022-11-09 - 2022-11-11 |
| Journal Title: | Procedia Computer Science (vol. 219) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.procs.2023.01.371 |
| Official URL: | https://doi.org/10.1016/j.procs.2023.01.371 |
| Date Deposited: | 10 Jul 2023 16:30 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Nguyen, A., Bougacha, O., Lekens, B., Lamouri, S., Pellerin, R., & Couvreur, C. (2022, November). On the use of logistics data to anticipate drugs shortages through data mining [Paper]. International Conference on ENTERprise Information Systems (CENTERIS 2022), Lisbon, Portugal. Published in Procedia Computer Science, 219. https://doi.org/10.1016/j.procs.2023.01.371 |
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