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
Model-free feature selection to facilitate automatic discov..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Tadesse, Girmaw Abebe
;
Ogallo, William
;
Cintas, Celia
. - p. 6039-6047 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020842
RT T1
2022 IEEE International Conference on Big Data (Big Data)
: T1
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
UL https://suche.suub.uni-bremen.de/peid=ieee-10020842&Exemplar=1&LAN=DE A1 Tadesse, Girmaw Abebe A1 Ogallo, William A1 Cintas, Celia A1 Speakman, Skyler YR 2022 K1 Correlation K1 MIMICs K1 Fitting K1 Big Data K1 Feature extraction K1 Data models K1 Cleaning SP 6039 OP 6047 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020842 DO https://doi.org/10.1109/BigData55660.2022.10020842 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)