Predicting the technological complexity of global cities based on unsupervised and supervised machine learning methods
Federico Nutarelli, Samuel Edet, Giorgio Gnecco, Massimo Riccaboni
| Year of publication: |
2025
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|---|---|
| Authors: | Nutarelli, Federico ; Edet, Samuel ; Gnecco, Giorgio ; Riccaboni, Massimo |
| Published in: |
Journal of economic behavior & organization. - Amsterdam [u.a.] : Elsevier, ISSN 1879-1751, ZDB-ID 1460618-5. - Vol. 234.2025, Art.-No. 107011, p. 1-24
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| Subject: | Innovation | Urban studies | Technological change | Artificial intelligence | Global cities | Künstliche Intelligenz | Technischer Fortschritt | Stadtentwicklung | Urban development |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jebo.2025.107011 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015466820