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
Strategic Integration Of Business Intelligence And Risk Man..:
, In:
2024 2nd International Conference on Disruptive Technologies (ICDT)
,
Krishna, I.Mohana
;
Nagarajan, S.
;
Amulya, S.
... - p. 128-133 , 2024
Link:
https://doi.org/10.1109/ICDT61202.2024.10489317
RT T1 <cTitle>2024 2nd International Conference on Disruptive Technologies (ICDT)</cTitle>: T1 <Title>Strategic Integration Of Business Intelligence And Risk Management For Financial Institutions Using A Deep Random Forest Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10489317&Exemplar=1&LAN=DE A1 Krishna, I.Mohana A1 Nagarajan, S. A1 Amulya, S. A1 A, Pavithra. A1 SRI Vaishnavi, G.N.S.L. A1 Thabassum, Sayyad Sumayya YR 2024 K1 Deep learning K1 Computational modeling K1 Forestry K1 Predictive models K1 Pattern recognition K1 Risk management K1 Business intelligence K1 Risk Management K1 Business Intelligence K1 Random Forest K1 Deep Learning SP 128 OP 133 LK http://dx.doi.org/https://doi.org/10.1109/ICDT61202.2024.10489317 DO https://doi.org/10.1109/ICDT61202.2024.10489317 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
