Rule generation for classification : scalability, interpretability, and fairness
Tabea E. Röber, Adia C. Lumadjeng, M. Hakan Akyüz, Ş. İlker Birbil
| Year of publication: |
2025
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|---|---|
| Authors: | Röber, Tabea E. ; Lumadjeng, Adia C. ; Akyüz, M. Hakan ; Bi̇rbi̇l, Ş. İlker |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 183.2025, Art.-No. 107163, p. 1-18
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| Subject: | Fairness | Interpretability | Linear programming | Machine learning | Rule generation | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Mathematische Optimierung | Mathematical programming | Gerechtigkeit | Justice | Klassifikation | Classification |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107163 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015460224