A comparative Study on Graduates' Employment in Malaysia by using Data Mining

A comparative Study on Graduates' Employment in Malaysia by using Data Mining

This study implements data mining to extract knowledge by analysing the graduates' employment dataset from year 2017 obtained from Ministry of Higher Education (MoHE). The objective of this study is to compare three predictive models which are Decision Tree (DT), Logistic Regression (LR) and Ar...

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Bibliographic Details
Main Authors: Binti A'Rifian, N.I.N (Author), Binti Md Shahri, N.H.N (Author), Binti Mohd Daud, N.S.A (Author), Jaini N.I (Author), Jamil N.M (Author), Jonovich A.A.A (Author), Jusoh @ Awang R. (Author), Kasim A.R.M (Author), Muhamad Romzi, A.F.B (Author), Zabidi S.F.A (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2019
Subjects:
Comparative studies
Data mining
Decision trees
Education computing
Employment
Forecasting
Graduate students
Higher education
Logistic regressions
Misclassification rates
Neural networks
Prediction model
Predictive modeling
Predictive models
Students
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