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
Using machine learning to create a credit scoring model in ..:
, In:
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
,
Cao, Nhan Thi
;
Tran, Long Hoang
;
Ton-That, An Hoa
- p. 1-5 , 2021
Link:
https://doi.org/10.1109/CSDE53843.2021.9718414
RT T1
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
: T1
Using machine learning to create a credit scoring model in banking and finance
UL https://suche.suub.uni-bremen.de/peid=ieee-9718414&Exemplar=1&LAN=DE A1 Cao, Nhan Thi A1 Tran, Long Hoang A1 Ton-That, An Hoa YR 2021 K1 Support vector machines K1 Computer science K1 Machine learning algorithms K1 Conferences K1 Finance K1 Machine learning K1 Banking K1 Credit scoring K1 scorecard model K1 weight of evidence K1 logistic regression K1 lightGBM K1 support vector machine SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CSDE53843.2021.9718414 DO https://doi.org/10.1109/CSDE53843.2021.9718414 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)