DATA MINING APPLICATION FOR BUILDING A SYSTEM TO SUPPORT THE SELECTION OF MAJORS AT DONG THAP UNIVERSITY

Huỳnh Lê Uyên Minh

doi:10.34238/tnu-jst.5915

DATA MINING APPLICATION FOR BUILDING A SYSTEM TO SUPPORT THE SELECTION OF MAJORS AT DONG THAP UNIVERSITY

About this article

Received: 28/04/22 Revised: 30/05/22 Published: 31/05/22

Authors

Huynh Le Uyen Minh , Dong Thap University

Abstract

In this paper, we have approached data mining and John Holland's theory to build a recommendation model for major choosing at Dong Thap University. We collect data of students at the school and some students graduate on time, and then the pre-processing step is to transform the dataset into structured one, suited for the input of data mining algorithms used in the next step. The random forest model is learnt from the dataset to build the predictive model. In the system building step, we used the above model to build a suitable counseling function for candidates when they choose a major at Dong Thap University. In addition, we also built a function to help candidates in identifying the right career group for themselves. The experimental results can the improve the admissions consulting, contribute to improving the quality of studing and training, at the same time, candidates also know the admission information of the Dong Thap University more.

Keywords

Admissions consulting; John Holland theory; Random forest; Data mining; Choosing a major

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DOI: https://doi.org/10.34238/tnu-jst.5915

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