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On Temporal Cluster Analysis for Early Identifying In-troub..:
, In:
2018 5th NAFOSTED Conference on Information and Computer Science (NICS)
,
Chau, Le Minh
;
Chau, Vo Thi Ngoc
;
Phung, Nguyen Hua
- p. 171-176 , 2018
Link:
https://doi.org/10.1109/NICS.2018.8606827
RT T1 <cTitle>2018 5th NAFOSTED Conference on Information and Computer Science (NICS)</cTitle>: T1 <Title>On Temporal Cluster Analysis for Early Identifying In-trouble Students in an Academic Credit System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8606827&Exemplar=1&LAN=DE A1 Chau, Le Minh A1 Chau, Vo Thi Ngoc A1 Phung, Nguyen Hua YR 2018 K1 Task analysis K1 Data models K1 Computer science K1 Vocabulary K1 Urban areas K1 Unsupervised learning K1 Analytical models K1 Temporal educational data clustering K1 in-trouble student identification K1 dynamic topic modeling K1 pattern K1 perplexity SP 171 OP 176 LK http://dx.doi.org/https://doi.org/10.1109/NICS.2018.8606827 DO https://doi.org/10.1109/NICS.2018.8606827 SF ELIB - SuUB Bremen
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