Decoding the Real World: Tackling Virtual Ethnographic Challenges through Data-Driven Methods

Reference : Decoding the Real World: Tackling Virtual Ethnographic Challenges through Data-Driven...


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/55503

Title :	Decoding the Real World: Tackling Virtual Ethnographic Challenges through Data-Driven Methods
Language :	English
Author, co-author :	Chen, Ninghan [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Publication date :	27-Jun-2023
Institution :	University of Luxembourg, Luxembourg
Name of the degree :	DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN INFORMATIQUE
Supervisor :	Pang, Jun
President of the jury :	Theobald, Martin
Member of the jury :	Aletras, Nikolaos
	Chen, Xihui
	Hopfgartner, Frank
Permalink :	http://hdl.handle.net/10993/55503
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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Open access	thesis_ninghanchen.pdf		Author preprint	22.72 MB	View/Open

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