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  • Search: subject:"Meta machine learning"
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Year of publication
Subject
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Meta machine learning 4 Business network 3 Data confidentiality 3 Distributed analytics 3 Artificial intelligence 2 Künstliche Intelligenz 2 Classification 1 Cognition 1 Cognitive computing 1 Computerized method 1 Computerunterstützung 1 Gender 1 Gender detection 1 Geschlecht 1 Klassifikation 1 Kognition 1 Meta classifier 1 Meta-Analyse 1 Meta-analysis 1 Micro blog data 1 Unternehmensnetzwerk 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 4
Author
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Hirt, Robin 4 Kühl, Niklas 4 Satzger, Gerhard 4 Martin, Dominik 3
Published in...
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Information Technology and Management 2 Electronic markets : the international journal on networked business 1 Information technology and management 1
Source
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ECONIS (ZBW) 2 EconStor 2
Showing 1 - 4 of 4
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Enabling inter-organizational analytics in business networks through meta machine learning
Hirt, Robin; Kühl, Niklas; Martin, Dominik; Satzger, … - In: Information technology and management 26 (2025) 1, pp. 57-81
Persistent link: https://www.econbiz.de/10015331006
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Cognitive computing for customer profiling : meta classification for gender prediction
Hirt, Robin; Kühl, Niklas; Satzger, Gerhard - In: Electronic markets : the international journal on … 29 (2019) 1, pp. 93-106
Persistent link: https://www.econbiz.de/10012004956
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Cover Image
Enabling inter-organizational analytics in business networks through meta machine learning
Hirt, Robin; Kühl, Niklas; Martin, Dominik; Satzger, … - In: Information Technology and Management (2023), pp. 1-25
performance. In this work, we propose a meta machine learning method that deals with these obstacles to enable comprehensive …
Persistent link: https://www.econbiz.de/10015097368
Saved in:
Cover Image
Enabling inter-organizational analytics in business networks through meta machine learning
Hirt, Robin; Kühl, Niklas; Martin, Dominik; Satzger, … - In: Information Technology and Management 26 (2023) 1, pp. 57-81
performance. In this work, we propose a meta machine learning method that deals with these obstacles to enable comprehensive …
Persistent link: https://www.econbiz.de/10015408328
Saved in:
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