Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents
Year of publication: |
November 2015
|
---|---|
Authors: | Lee, Won Sang ; Han, Eun Jin ; Sohn, So Young |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 100.2015, p. 317-329
|
Subject: | Technology convergence | Link prediction | Association rule | Big data | Triadic patents | Topic model | Patent | Big Data | Prognoseverfahren | Forecasting model | Technischer Fortschritt | Technological change | Wirtschaftliche Konvergenz | Economic convergence | Data Mining | Data mining | Welt | World |
-
Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Kim, Tae San, (2020)
-
Visualizing geo-spatial data in science, technology and innovation
Kwakkel, Jan H., (2014)
-
Zhang, Yi, (2016)
- More ...
-
Sohn, So Young, (2013)
-
Sohn, So Young, (2013)
-
Engineering graduate students' views on the effective ownership of academic patents
Sohn, So Young, (2019)
- More ...