Using the data mining method to assess the innovation gap : a case of industrial robotics in a catching-up country
Dejing Kong, Yuan Zhou, Yufei Liu, Lan Xue
| Year of publication: |
June 2017
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|---|---|
| Authors: | Kong, Dejing ; Zhou, Yuan ; Liu, Yufei ; Xue, Lan |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 119.2017, p. 80-97
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| Subject: | Innovation gap assessment | Support vector machines-based classifier | High-quality patents | Industry robot | China | Roboter | Robot | Innovation | Data Mining | Data mining | Patent | Technologiepolitik | Technology policy | Innovationsmanagement | Innovation management |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2017.02.035 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011886200