Science foresight using life-cycle analysis, text mining and clustering : a case study on natural ventilation
M. Rezaeian, H. Montazeri, R.C.G.M. Loonen
Year of publication: |
May 2017
|
---|---|
Authors: | Rezaeian, Mina ; Montazeri, Hamid ; Loonen, Roel C. G. M. |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 118.2017, p. 270-280
|
Subject: | Science foresight | Life-cycle analysis | Knowledge gap identification | Sensitivity analysis | Text mining | Wind catcher | Lebenszyklus | Life cycle | Data Mining | Data mining | Text | Theorie | Theory | Clusteranalyse | Cluster analysis | Sensitivitätsanalyse |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Comparison of applicability of startup life cycle theories based on natural language processing
Gosztonyi, Márton, (2022)
-
Unemployment news type in Malaysia by topic modelling and cluster analysis approach
Faiza Rusrianti Tajul Arus, (2020)
-
Text mining in organizational research
Kobayashi, Vladimer B., (2018)
- More ...
Similar items by person