INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 6, Issue 3, July 2017

Pages: 106-110

Date of Publication: 01-Jul-2017

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A NOVEL APPROACH TO PREDICT ACADEMIC PERFORMANCE USING DATA MINING

Author: Jashanpreet Kaura*, Yogesh Kumarb

Category: Engineering, Science and Mathematics

Abstract:

Management of huge amount of data has always been a matter of concern. With the increase in awareness towards education, the amount of data in educational institutes is also increasing. The increasing growth of educational databases, have given rise to a new field of data mining, known as Educational Data Mining. The present paper shows the performance of GPSO algorithm on the data mining. In the present paper review of literature on the data mining gives results of experimental work on basics of academic student performance. It has been observed that the GPSO algorithm gives better results than existing algorithm. Future scope of the data mining is also discussed in this paper

Keywords: Data Mining, Academic Performance, Genetic, PSO and Education