The effect of mining data k-means clustering toward students profile model drop out potential

Author:

Purba Windania,Tamba Saut,Saragih Jepronel

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference17 articles.

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Clustering-Based Computational Model to Group Students With Similar Programming Skills From Automatic Source Code Analysis Using Novel Features;IEEE Transactions on Learning Technologies;2024

2. Clusters of Success: Unpacking Academic Trends with K-Means Clustering in Education;VFAST Transactions on Software Engineering;2023-11-14

3. Avocado Price Data Analysis Using Decision Tree;Salud, Ciencia y Tecnología - Serie de Conferencias;2023-10-24

4. Classification Method of Higher Vocational Education Students Based on K-Means Clustering Algorithm;2023 International Conference on Educational Knowledge and Informatization (EKI);2023-09-22

5. A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning;Educational Data Science: Essentials, Approaches, and Tendencies;2023

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