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
Comparison Of Naive Bayes And Support Vector Machine For De..:
, In:
2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
,
Indra
;
Setiawati, Suci
;
Vaddhana, Sukha
. - p. 61-66 , 2022
Link:
https://doi.org/10.23919/EECSI56542.2022.9946515
RT T1 <cTitle>2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)</cTitle>: T1 <Title>Comparison Of Naive Bayes And Support Vector Machine For Detecting Hoax In Indonesian Tweet Case Study Of Tweet Covid-19</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9946515&Exemplar=1&LAN=DE A1 Indra A1 Setiawati, Suci A1 Vaddhana, Sukha A1 Septiarini, Anindita YR 2022 K1 Support vector machines K1 COVID-19 K1 Protocols K1 Social networking (online) K1 Pandemics K1 Oils K1 Blogs K1 Text Mining K1 Naive Bayes K1 Support Vector Machine K1 Hoax K1 Covid-19 SP 61 OP 66 LK http://dx.doi.org/https://doi.org/10.23919/EECSI56542.2022.9946515 DO https://doi.org/10.23919/EECSI56542.2022.9946515 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
