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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Abstract

PREDICTING OF STUDENT PERFORMANCE USING DATA MINING CLASSIFICATION TECHNIQUES

Rahul Sharma*, Dr. Shiv Shakti Shrivastava

ABSTRACT

In this research work, we are analyses and evaluates student performance in the Department of Computer Science, Parul Institute of Technology. The data were collected for two (2) years intake from July 2017 to June 2019 it contains student previous academic records Such as course code, course Name marks obtained for each student by applying the classification technique algorism in Rapid Miner tool. Data mining provides good and powerful methods for education and another different field of study. Due to the vast amount of data of student which is used to find out valuable information which can be used to determine the student success. In this paper a classification task was used for the prediction. A decision tree model is applied during the experiment. The results indicates that it is possible to predict the graduation performance, in addition, a procedure for evaluating the performance for each course have identified.

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