Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics

Results

Naziv:	Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
Autori:	Liu, Qinyi; Khalil, Mohammad; Shakya, Ronas; Jovanovic, Jelena M
Godina:	2024
Publikacija:	FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024
Tip rezultata:	Konferencijski rad
Kolacija:	str. 620-631
DOI:	10.1145/3636555.3636921
WoS-ID:	001179044200057
Scopus-ID:	2-s2.0-85187550062
URI:	https://enauka.gov.rs/handle/123456789/937413
Izvor metapodataka:	(Preuzeto iz Nasi u WoS)
M-kategorija:	Mp kategorija će biti prikazana naknadno.

27
SCOPUS^TM

17
WEB OF SCIENCE^TM

Altmetric

Dimensions

Unpaywall

Google Scholar^TM