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
Best Feature Selection using Correlation Analysis for Predi..:
, In:
2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)
,
Ji, Se-Hyun
;
Baek, Ui-Jun
;
Shin, Mu-Gon
... - p. 1-6 , 2019
Link:
https://doi.org/10.23919/APNOMS.2019.8892896
RT T1 <cTitle>2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)</cTitle>: T1 <Title>Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8892896&Exemplar=1&LAN=DE A1 Ji, Se-Hyun A1 Baek, Ui-Jun A1 Shin, Mu-Gon A1 Goo, Young-Hoon A1 Park, Jun-Sang A1 Kim, Myung-Sup YR 2019 K1 Cryptocurrency K1 Bitcoin K1 Machine Learning K1 Feature Selection K1 Coefficient Analysis SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.23919/APNOMS.2019.8892896 DO https://doi.org/10.23919/APNOMS.2019.8892896 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
