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
PITEH: Providing Financial Identities to Those Without Cred..:
, In:
2020 International Conference on Computational Intelligence (ICCI)
,
Salem, Ayu Shahirah
;
Mahamad, Saipunidzam
- p. 159-162 , 2020
Link:
https://doi.org/10.1109/ICCI51257.2020.9247779
RT T1
2020 International Conference on Computational Intelligence (ICCI)
: T1
PITEH: Providing Financial Identities to Those Without Credit Score
UL https://suche.suub.uni-bremen.de/peid=ieee-9247779&Exemplar=1&LAN=DE A1 Salem, Ayu Shahirah A1 Mahamad, Saipunidzam YR 2020 K1 Machine learning K1 Distance measurement K1 Data models K1 History K1 Smart phones K1 Computational intelligence K1 Credit Scores K1 Financial Exclusion K1 Machine Learning K1 Microfinancing Institution SP 159 OP 162 LK http://dx.doi.org/https://doi.org/10.1109/ICCI51257.2020.9247779 DO https://doi.org/10.1109/ICCI51257.2020.9247779 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)