A study on Students’ performance in compliance with Industry requirements using Data Mining Techniques
DOI:
https://doi.org/10.5281/zenodo.7384567%20Keywords:
Academic performance, prediction, Decision making, Data Mining, ClusterAbstract
Education is one of the best aspects of our life which makes the student to learn the value of education. It makes the student technically sound enough with the confident to face the world. For the academic institution and the industry play a vital role in each student’s education. To meet the industry standard, it is important to identify student’s performance becomes challenging due to high value of educational databases. So, it is necessary to analyze and monitor the student performance in order to meet industry requirements. This paper identifies suitable method for predicting the performance of the students in Oman using data mining techniques.Downloads
Published
2022-12-07
How to Cite
Justin Rajasekaran. (2022). A study on Students’ performance in compliance with Industry requirements using Data Mining Techniques. International Journal of Information Technology, Research and Applications, 1(3), 1–5. https://doi.org/10.5281/zenodo.7384567
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Regular Issue
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