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
Proposing a Novel Framework for Prediction of Stock using M..:
, In:
2023 11th International Conference on Cyber and IT Service Management (CITSM)
,
Bist, Ankur Singh
;
Rawat, Bhupesh
;
Kosasi, Sandy
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/CITSM60085.2023.10455241
RT T1
2023 11th International Conference on Cyber and IT Service Management (CITSM)
: T1
Proposing a Novel Framework for Prediction of Stock using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10455241&Exemplar=1&LAN=DE A1 Bist, Ankur Singh A1 Rawat, Bhupesh A1 Kosasi, Sandy A1 Aini, Qurotul A1 Oganda, Fitra Putri A1 Yadila, Ahmad Bayu YR 2023 SN 2770-159X K1 Deep learning K1 Machine learning algorithms K1 Machine learning K1 Oral communication K1 Prediction algorithms K1 Vectors K1 Stock markets K1 LNN K1 CNN K1 KVM K1 KNN SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CITSM60085.2023.10455241 DO https://doi.org/10.1109/CITSM60085.2023.10455241 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)