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
Teaching techniques based on data mining and machine learni..:
, In:
2022 V Congreso Internacional en Inteligencia Ambiental, Ingeniería de Software y Salud Electrónica y Móvil (AmITIC)
,
Perdomo, Edisney Garcia
;
Lopez, Alvaro Hernan Alarcon
;
Castro, Julian Andres Quimbayo
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/AmITIC55733.2022.9941298
RT T1
2022 V Congreso Internacional en Inteligencia Ambiental, Ingeniería de Software y Salud Electrónica y Móvil (AmITIC)
: T1
Teaching techniques based on data mining and machine learning at the Mercedes Perdomo de Lievano Children's Shelter
UL https://suche.suub.uni-bremen.de/peid=ieee-9941298&Exemplar=1&LAN=DE A1 Perdomo, Edisney Garcia A1 Lopez, Alvaro Hernan Alarcon A1 Castro, Julian Andres Quimbayo A1 Vargas, Juan Sebastian Garcia YR 2022 K1 Digital transformation K1 Urban areas K1 Machine learning K1 Software K1 Information and communication technology K1 Data mining K1 Digital divide K1 Didactic methodologies K1 ICT tools K1 teaching strategies K1 data mining K1 Machine Learning K1 marginalized sectors SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/AmITIC55733.2022.9941298 DO https://doi.org/10.1109/AmITIC55733.2022.9941298 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)