Computer science students early drop-out prediction using machine learning : a case study
author
Maksimova, Natalja
Pentel, Avar
Dunajeva, Olga
statement of authorship
Natalja Maksimova, Avar Pentel, Olga Dunajeva
source
Learning with Technologies and Technologies in Learning
location of publication
Cham
publisher
Springer Nature
year of publication
2022
pages
p. 523-549
series
Lecture notes in networks and systems ; 456
url
https://doi.org/10.1007/978-3-031-04286-7_25
subject term
tehisõpe
infotehnoloogia
üliõpilased
õpingute katkestamine
Scopus
https://www.scopus.com/sourceid/21100901469
https://www.scopus.com/record/display.uri?eid=2-s2.0-85138218768&origin=inward&txGid=1824e586ffbf4babe57363fbe664e66b
quartile
Q4
category (general)
Computer science
Arvutiteadus
Engineering
Tehnika
category (sub)
Computer science. Signal processing
Arvutiteadus. Signaalitöötlus
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
Computer science. Computer networks and communications
Arvutiteadus. Arvutivõrgud ja side
name of the institution
Tallinna Tehnikaülikool. Virumaa Kolledž
ISBN
978-3-031-04285-0
978-3-031-04286-7
notes
Bibliogr.: 33 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Virumaa kolledž
language
inglise