Predicting Student Drop-Out in Higher Institution Using Data Mining Techniques

Predicting Student Drop-Out in Higher Institution Using Data Mining Techniques

The increasing number of students dropping out is a major concern of higher educational institutions as it gives a great impact not only cost to the students but also a waste of public funds. Thus, it is imperative to understand which students are at risk of dropping out and what are the factors tha...

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Bibliographic Details
Main Authors: Mohd Sobri, N. (Author), Nasir, S.A.M (Author), Norshahidi, N.D (Author), Wan Husin, W.Z (Author), Wan Yaacob W.F (Author), Wan Yaacob, W.F (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing, 2020
Subjects:
Classification accuracy
Data mining
Decision trees
Educational data mining
Educational institutions
Forecasting
K-nearest neighbours
Learning systems
Logistic regression
Logistic Regression modeling
Nearest neighbor search
Neural network algorithm
Student retention
Students
Undergraduate students
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