I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Deriving Data Modeling Requirements Using Topic Modelling i..:
, In:
2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)
,
Mohammed, Mahmoud
;
Atiani, Serin
;
Rub, Reema Abu Al
.. - p. 279-286 , 2023
Link:
https://doi.org/10.1109/ICCNS58795.2023.10193611
RT T1 <cTitle>2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)</cTitle>: T1 <Title>Deriving Data Modeling Requirements Using Topic Modelling in Cancer Care Context: The Case of the iCanViz Project</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10193611&Exemplar=1&LAN=DE A1 Mohammed, Mahmoud A1 Atiani, Serin A1 Rub, Reema Abu Al A1 Kharbat, Faten F A1 Odeh, Mohammad YR 2023 K1 Analytical models K1 Navigation K1 Computational modeling K1 Semantics K1 Benchmark testing K1 Data engineering K1 Data models K1 iCanViz K1 Topic Modeling K1 data models K1 data engineering SP 279 OP 286 LK http://dx.doi.org/https://doi.org/10.1109/ICCNS58795.2023.10193611 DO https://doi.org/10.1109/ICCNS58795.2023.10193611 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
