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
An Improved Accuracy in Anticipating the User Nature using ..:
, In:
2022 5th International Conference on Contemporary Computing and Informatics (IC3I)
,
Kumar, V. Sai Ram
;
Vindhya, A.Shri
- p. 850-854 , 2022
Link:
https://doi.org/10.1109/IC3I56241.2022.10073045
RT T1 <cTitle>2022 5th International Conference on Contemporary Computing and Informatics (IC3I)</cTitle>: T1 <Title>An Improved Accuracy in Anticipating the User Nature using a novel logistic regression algorithm throughout the pandemic across online social media based on Indian metrics over Support Vector Clustering Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10073045&Exemplar=1&LAN=DE A1 Kumar, V. Sai Ram A1 Vindhya, A.Shri YR 2022 K1 Support vector machines K1 Social networking (online) K1 Pandemics K1 Blogs K1 Clustering algorithms K1 Support vector machine classification K1 Static VAr compensators K1 Twitter K1 Support Vector Clustering K1 Novel Logistic Regression K1 Covid K1 User Nature Detection K1 Pandemic SP 850 OP 854 LK http://dx.doi.org/https://doi.org/10.1109/IC3I56241.2022.10073045 DO https://doi.org/10.1109/IC3I56241.2022.10073045 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
