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  • Search: subject:"ML techniques"
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Year of publication
Subject
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ML techniques 2 analysis 2 attributes 2 digital platforms 2 engagement 2 statistics 2 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Digital platform 1 Digitale Plattform 1 Digitalisierung 1 Digitization 1 E-Learning 1 E-learning 1 Künstliche Intelligenz 1 Network economics 1 Netzwerkökonomik 1 Social Web 1 Social web 1 South Korea 1 Statistical method 1 Statistische Methode 1 Students 1 Studierende 1 Südkorea 1 Theorie 1 Theory 1 automatic valuation model 1 combined approach 1 decision tree-based algorithms 1 machine learning (ML) techniques 1 mass appraisal 1
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Online availability
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Free 3 CC license 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Abazi Bexheti, Lejla 1 Bexheti, Lejla Abazi 1 Hong, Jengei 1 Kim, Woo-sung 1 Riza, Lediana Shala 1 Shala Riza, Lediana 1
Published in...
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ENTRENOVA - ENTerprise REsearch InNOVAtion 1 ENTRENOVA - ENTerprise REsearch InNOVAtion Conference 1 International journal of strategic property management 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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ML techniques integration in digital learning platforms : students' dataset statistical analysis
Riza, Lediana Shala; Bexheti, Lejla Abazi - In: ENTRENOVA - ENTerprise REsearch InNOVAtion Conference 10 (2024) 1, pp. 22-32
With the use of technology-enhanced learning platforms and an abundance of available educational data, it is possible to analyze student learning behavior and solve problems, improve the learning environment, and make data-driven decisions. A virtual learning environment effectively provide...
Persistent link: https://www.econbiz.de/10015424134
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ML Techniques Integration in Digital Learning Platforms: Students' Dataset Statistical Analysis
Shala Riza, Lediana; Abazi Bexheti, Lejla - In: ENTRENOVA - ENTerprise REsearch InNOVAtion 10 (2025) 1, pp. 22-32
With the use of technology-enhanced learning platforms and an abundance of available educational data, it is possible to analyze student learning behavior and solve problems, improve the learning environment, and make data-driven decisions. A virtual learning environment effectively provide...
Persistent link: https://www.econbiz.de/10015403947
Saved in:
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Combination of machine learning-based automatic valuation models for residential properties in South Korea
Hong, Jengei; Kim, Woo-sung - In: International journal of strategic property management 26 (2022) 5, pp. 362-384
Persistent link: https://www.econbiz.de/10014279583
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