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
Characterizing Educational Data Mining:
, In:
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
,
da Silva, Victor Regis Lyra Beserra
;
de Albuquerque Silva, Fabio
;
Buregio, Vanilson
- p. 1-5 , 2019
Link:
https://doi.org/10.23919/CISTI.2019.8760815
RT T1
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
: T1
Characterizing Educational Data Mining
UL https://suche.suub.uni-bremen.de/peid=ieee-8760815&Exemplar=1&LAN=DE A1 da Silva, Victor Regis Lyra Beserra A1 de Albuquerque Silva, Fabio A1 Buregio, Vanilson YR 2019 K1 Data mining K1 Information systems K1 Market research K1 Machine learning K1 Art K1 Software K1 Educational data mining K1 Pattern Recognition SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.23919/CISTI.2019.8760815 DO https://doi.org/10.23919/CISTI.2019.8760815 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)