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A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification.

, and . ACIIDS (1), volume 11431 of Lecture Notes in Computer Science, page 219-230. Springer, (2019)

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On Semi-supervised Learning with Sparse Data Handling for Educational Data Classification., and . FDSE, volume 10646 of Lecture Notes in Computer Science, page 154-167. Springer, (2017)A Knowledge-Driven Educational Decision Support System., and . RIVF, page 1-6. IEEE, (2012)A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification., and . ACIIDS (1), volume 11431 of Lecture Notes in Computer Science, page 219-230. Springer, (2019)Imbalanced educational data classification: An effective approach with resampling and random forest., and . RIVF, page 135-140. IEEE, (2013)An Enhanced CNN Model on Temporal Educational Data for Program-Level Student Classification., and . ACIIDS (1), volume 12033 of Lecture Notes in Computer Science, page 442-454. Springer, (2020)A Combined Learning-Based Bagging Method for Classification Improvement., and . ICCCI, volume 12496 of Lecture Notes in Computer Science, page 373-387. Springer, (2020)Extracting Rule RF in Educational Data Classification: From a Random Forest to Interpretable Refined Rules., , and . ACOMP, page 20-27. IEEE Computer Society, (2015)A Random Forest-Based Self-training Algorithm for Study Status Prediction at the Program Level: minSemi-RF., and . MIWAI, volume 10053 of Lecture Notes in Computer Science, page 219-230. Springer, (2016)A kernel-induced weighted object-cluster association-based ensemble method for educational data clustering., and . J. Inf. Telecommun., 4 (2): 119-139 (2020)Enhanced CNN Models for Binary and Multiclass Student Classification on Temporal Educational Data at the Program Level., and . Vietnam. J. Comput. Sci., 8 (2): 311-335 (2021)