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An Unsupervised Machine Learning Model for Discovering the ..:
, In:
Technical and Vocational Education and Training: Issues, Concerns and Prospects; Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity
,
Badran, Sherif
;
Allaymoun, Mohammad
- p. 173-184 , 2024
Link:
https://doi.org/10.1007/978-981-99-7798-7_14
RT T1 <cTitle>Technical and Vocational Education and Training: Issues, Concerns and Prospects; Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity</cTitle>: T1 <Title>An Unsupervised Machine Learning Model for Discovering the Impact of Social Networks on Students' Behavior and Health in a COVID-19 Case Study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-99-7798-7_14&Exemplar=1&LAN=DE A1 Badran, Sherif A1 Allaymoun, Mohammad PB Springer Nature Singapore YR 2024 SP 173 OP 184 LK http://dx.doi.org/https://doi.org/10.1007/978-981-99-7798-7_14 DO https://doi.org/10.1007/978-981-99-7798-7_14 SF ELIB - SuUB Bremen
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