Record link: 
http://hdl.handle.net/20.500.12708/175978
-
Title: 
Electronic Government and the Information Systems Perspective : 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings
en
Citation: 
Kö, A., Francesconi, E., Kotsis, G., Tjoa, A. M., & Khalil, I. (Eds.). (2021). Electronic Government and the Information Systems Perspective : 10th International Conference, EGOVIS 2021, Virtual Event, September 27–30, 2021, Proceedings (Vol. 12926). LNCS. https://doi.org/10.1007/978-3-030-86611-2
-
Publisher DOI: 
10.1007/978-3-030-86611-2
-
Publication Type: 
Book - Edited Volume
en
Language: 
English
-
Editors: 
Kö, Andrea 
Francesconi, Enrico 
Kotsis, Gabriele 
Tjoa, A Min 
Khalil, Ismail 
-
Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
E194-04 - Forschungsbereich Data Science 
-
Series: 
Lecture Notes in Computer Science 
-
ISBN: 
978-3-030-86610-5
978-3-030-86611-2
-
Volume: 
12926
-
Date (published): 
2021
-
Number of Pages: 
180
-
Keywords: 
artificial intelligence; communication systems; pricacy; trust; security; computer networks; computer programming; e-government; computer security; computer systems; cryptography; data mining; databases; decision support systems; information technology; iinformation systems; business analytic; network protocols; signal processing; telecommunication networks; telecommunication systems; wireless telecommunication systems
en
Additional information: 
This volume LNCS 12926 constitutes the papers of the 10ᵗʰ International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2021, held in September 2021 as part of the DEXA 2021 conference. The event was held virtually due to COVID-19 pandemic. The 13 full papers presented were carefully reviewed and selected from 21 submissions and focus on information systems and ICT aspects of e-government. The papers are organized in 3 topical sections: e-government theoretical background and cases; identity management and legal issues; artificial intelligence and machine learning in e-government context.
-
Research Areas: 
Information Systems Engineering: 100%
-
Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
-
Appears in Collections:
Book

Show full item record

Page view(s)

364
checked on Nov 22, 2023

Google ScholarTM

Check