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
Feature Selection for High-Dimensional Imbalanced Malware D..:
, In:
2023 International Conference on Information Technology (ICIT)
,
Abujazoh, Mai
;
Al-Darras, Duha
;
A. Hamad, Nesreen
. - p. 196-201 , 2023
Link:
https://doi.org/10.1109/ICIT58056.2023.10226049
RT T1 <cTitle>2023 International Conference on Information Technology (ICIT)</cTitle>: T1 <Title>Feature Selection for High-Dimensional Imbalanced Malware Data Using Filter and Wrapper Selection Methods</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10226049&Exemplar=1&LAN=DE A1 Abujazoh, Mai A1 Al-Darras, Duha A1 A. Hamad, Nesreen A1 Al-Sharaeh, Saleh YR 2023 SN 2831-3399 K1 Support vector machines K1 Machine learning algorithms K1 Metaheuristics K1 Filtering algorithms K1 Feature extraction K1 Information filters K1 Malware K1 feature selection K1 malware K1 metaheuristic K1 classification K1 imbalanced dataset K1 high-dimensional dataset SP 196 OP 201 LK http://dx.doi.org/https://doi.org/10.1109/ICIT58056.2023.10226049 DO https://doi.org/10.1109/ICIT58056.2023.10226049 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
