Designing and evaluating a big data analytics approach for predicting students’ success factors
Download
s40537-023-00835-z.pdf
- Published Version
(1MB)
| Preview
Available under license: Creative Commons Attribution
Export
Fahd, Kiran and Miah, Shah Jahan ORCID: https://orcid.org/0000-0002-3783-8769
(2023)
Designing and evaluating a big data analytics approach for predicting students’ success factors.
Journal of Big Data, 10.
ISSN 2196-1115
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48095 |
| DOI | 10.1186/s40537-023-00835-z |
| Official URL | https://journalofbigdata.springeropen.com/articles... |
| Subjects | Current > FOR (2020) Classification > 4609 Information systems Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | Design Science Research (DSR); Big Data; Big Data Analytical Solution (BDAS); Machine Learning (ML); Deep Learning (DL); DSR evaluation; Artifcial Intelligence (AI) |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)
Download
Download