Method of improving the performance of public-private innovation networks by linking heterogeneous DBs : prediction using ensemble and PPDM models
Seung-Pyo Jun, Jae-Seong Lee, Juyeon Lee
| Year of publication: |
2020
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| Authors: | Jun, Seung-Pyo ; Lee, Jae-Seong ; Lee, Juyeong |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 161.2020, p. 1-17
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| Subject: | Generalized linear models | Machine learning ensemble model | National innovation system | Privacy-preserving data mining | Public-private innovation network | Small and medium enterprises | Innovation | Data Mining | Data mining | KMU | SME | Künstliche Intelligenz | Artificial intelligence | Technologiepolitik | Technology policy | Unternehmensnetzwerk | Business network | Öffentlich-private Partnerschaft | Public-private partnership | Netzwerk | Network |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2020.120258 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012533547