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

CHEN, Ninghan

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Doctoral thesis (Dissertations and theses)

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

CHEN, Ninghan

2023

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https://hdl.handle.net/10993/55503

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Disciplines :

Computer science

Author, co-author :

CHEN, Ninghan ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Language :

English

Title :

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

Defense date :

27 June 2023

Institution :

Unilu - University of Luxembourg, Luxembourg

Degree :

DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN INFORMATIQUE

Promotor :

PANG, Jun

President :

THEOBALD, Martin

Jury member :

Aletras, Nikolaos

CHEN, Xihui

Hopfgartner, Frank

Focus Area :

Computational Sciences

FnR Project :

FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian

Available on ORBilu :

since 03 July 2023

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