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  • Search: subject:"Early identification"
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Year of publication
Subject
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Early identification 4 Forecasting model 2 Prognoseverfahren 2 Technischer Fortschritt 2 Technological change 2 Absolventen 1 Arbeitslosigkeit 1 Artificial intelligence 1 BERT-BiLSTM-linear 1 Beschäftigungsfähigkeit 1 Convergence process 1 Deep learning model 1 Economic convergence 1 Economic indicator 1 Emerging technologies 1 Emerging technology 1 Employability 1 GAT 1 Graduates 1 High attention content 1 Innovation 1 Knowledge management 1 Knowledge transfer 1 Künstliche Intelligenz 1 Machine learning models 1 Malaysia 1 Multiple patent indicators 1 Online mental health community 1 Patent 1 Scientific knowledge 1 Statistical prediction model 1 Technologie 1 Technologiepolitik 1 Technologievorausschau 1 Technology 1 Technology forecasting 1 Technology foresight 1 Technology policy 1 Unemployment 1 Wirtschaftliche Konvergenz 1
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Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 1
Language
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English 4 Undetermined 1
Author
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Ainol Madziah Zubairi 1 Bidin Yatim 1 Dong, Fang 1 Kim, Myeongjung 1 Kong, Dejing 1 Kwon, Daeil 1 Kwon, Ohjin 1 LIM, HOCK-EAM 1 Lee, Changyong 1 Lim, Hock Eam 1 Liu, Xinmin 1 Liu, Yufei 1 Luo, Ying 1 Rosna, Awang-Hashim 1 Tengku Faekah Tengku Ariffin 1 Wang, Song 1 Zhou, Yuan 1
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Published in...
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Technological forecasting & social change : an international journal 2 Data Technologies and Applications 1 The Singapore Economic Review (SER) 1 The Singapore economic review : journal of the Economic Society of Singapore and the Department of Economics, National University of Singapore 1
Source
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ECONIS (ZBW) 3 RePEc 1 Other ZBW resources 1
Showing 1 - 5 of 5
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Early identification of high attention content for online mental health community users based on multi-level fusion model
Wang, Song; Luo, Ying; Liu, Xinmin - In: Data Technologies and Applications 58 (2024) 5, pp. 838-857
tendencies of the participating groups less clear. Thus, the purpose of this paper is to build an early identification mechanism …
Persistent link: https://www.econbiz.de/10015342709
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Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies
Zhou, Yuan; Dong, Fang; Kong, Dejing; Liu, Yufei - In: Technological forecasting & social change : an … 144 (2019), pp. 205-220
Persistent link: https://www.econbiz.de/10012133918
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Early identification of emerging technologies : a machine learning approach using multiple patent indicators
Lee, Changyong; Kwon, Ohjin; Kim, Myeongjung; Kwon, Daeil - In: Technological forecasting & social change : an … 127 (2018), pp. 291-303
Persistent link: https://www.econbiz.de/10011957040
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Estimating a prediction model for the early identification of low employability graduates in Malaysia
Rosna, Awang-Hashim; Lim, Hock Eam; Bidin Yatim; Tengku … - In: The Singapore economic review : journal of the Economic … 60 (2015) 4, pp. 1-22
Persistent link: https://www.econbiz.de/10011389617
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PREDICTING LOW EMPLOYABILITY GRADUATES: THE CASE OF UNIVERSITI UTARA MALAYSIA
LIM, HOCK-EAM - In: The Singapore Economic Review (SER) 55 (2010) 03, pp. 523-535
The persistence of the graduate unemployment problem warrants the need for predicting factors that are associated with low employability graduates. It is found that ethnicity, English language proficiency and types of degree obtained are significant predictors of graduates' employability which...
Persistent link: https://www.econbiz.de/10008670306
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