A Similarity-Based Approach for the All-Time Demand Prediction of New Automotive Spare Parts
| Zugehörige Institution(en) am KIT | Karlsruhe Service Research Institute (KSRI) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2018 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-1-5108-5655-4 urn:nbn:de:swb:90-826205 KITopen-ID: 1000082620 |
| Erschienen in | Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS-51), Waikoloa Village, Hawaii, US, 3rd - 6th January 2018 |
| Verlag | Curran |
| Nachgewiesen in | OpenAlex Dimensions |