Explainable subgradient tree boosting for prescriptive analytics in operations management
Pascal M. Notz, Richard Pibernik
| Year of publication: |
2024
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|---|---|
| Authors: | Notz, Pascal Markus ; Pibernik, Richard |
| Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 312.2024, 3 (1.2.), p. 1119-1133
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| Subject: | Decision support systems | Explainability | Gradient boosting | Machine learning | Prescriptive analytics | Management-Informationssystem | Management information system | Künstliche Intelligenz | Artificial intelligence | Prozessmanagement | Business process management | Data Mining | Data mining |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2023.08.037 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014456474