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
Analysis and Visualization of Fake News Detection Dataset t..:
, In:
2023 6th International Conference on Information Systems and Computer Networks (ISCON)
,
Patel, Dhyani
;
Bansal, Shreya
;
Arora, Jeevika
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISCON57294.2023.10112024
RT T1 <cTitle>2023 6th International Conference on Information Systems and Computer Networks (ISCON)</cTitle>: T1 <Title>Analysis and Visualization of Fake News Detection Dataset through Machine Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10112024&Exemplar=1&LAN=DE A1 Patel, Dhyani A1 Bansal, Shreya A1 Arora, Jeevika A1 Rani, Ritu A1 Dev, Amita A1 Sharma, Arun YR 2023 SN 2832-143X K1 Training K1 Social networking (online) K1 Computational modeling K1 Voting K1 Data visualization K1 Organizations K1 Predictive models K1 Fake News Prediction K1 K Means Clustering K1 Logistic Regression K1 Random Forest Classification SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCON57294.2023.10112024 DO https://doi.org/10.1109/ISCON57294.2023.10112024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
