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
Bitcoin Price Prediction Using Machine Learning Methods:
, In:
2019 1st International Informatics and Software Engineering Conference (UBMYK)
,
Demir, Asli
;
Akilotu, Beyza Nur
;
Kadiroglu, Zehra
. - p. 1-4 , 2019
Link:
https://doi.org/10.1109/UBMYK48245.2019.8965445
RT T1
2019 1st International Informatics and Software Engineering Conference (UBMYK)
: T1
Bitcoin Price Prediction Using Machine Learning Methods
UL https://suche.suub.uni-bremen.de/peid=ieee-8965445&Exemplar=1&LAN=DE A1 Demir, Asli A1 Akilotu, Beyza Nur A1 Kadiroglu, Zehra A1 Sengur, Abdulkadir YR 2019 K1 Bitcoin K1 Mathematical model K1 Machine learning K1 Estimation K1 Silicon compounds K1 Matlab K1 Peer-to-peer computing K1 LSTM K1 machine learning K1 prediction SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/UBMYK48245.2019.8965445 DO https://doi.org/10.1109/UBMYK48245.2019.8965445 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)