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Analyzing the Student Performance using Classification Techniques to find the Better Suited Classifier
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 104 - Number 4 |
| Year of Publication: 2014 |
| Authors: Sherine Dominick, T. Abdul Razak |
10.5120/18187-9092
|
Sherine Dominick, T. Abdul Razak . Analyzing the Student Performance using Classification Techniques to find the Better Suited Classifier. International Journal of Computer Applications. 104, 4 ( October 2014), 1-3. DOI=10.5120/18187-9092
Abstract
Educational institutions are producing talented and intelligent students and workers, but when we consider quality and equity of the student's progress in his career, it is still a challenge or a question to be answered. These institutions focus on quality in education. Every year a huge number of students graduate from colleges and universities, with respect to the data collected from the feedback of students, classification a data mining technique is applied to it. It is a step to analyze the factors affecting the academic performance of students in order to evaluate the current student performance and take efficient steps in the prediction of the most likely occurring relationships between the various aspects of learning and to enhance the quality of education in future and help the educational planners to plan accordingly.
References
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