A Recent Exploration on Student Performance Analysis using Educational Data Mining Methods
Jayasree R1, Sheela Selvakumari N.A2

1Jayasree R, Department of Computer Science, Krishnamamal College of Arts and Science, Coimbatore (Tamil Nadu), India.
2Dr. Sheela Selvakumari N.A, Associate Professor, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India.

Manuscript received on 04 July 2022 | Revised Manuscript received on 12 July 2022 | Manuscript Accepted on 15 August 2022 | Manuscript published on 30 August 2022 | PP: 6-10 | Volume-11 Issue-9, August 2022 | Retrieval Number: 100.1/ijitee.G91880811922 | DOI: 10.35940/ijitee.G9188.0811922
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Predicting students’ overall performance turns into greater difficult because of the massive quantity of records in academic databases. Currently in India, the shortage of current system to examine and display the student development and overall performance isn’t always being addressed. Hence on this paper, supplied an in-depth literature assessment on predicting student overall performance through the use of data mining strategies is proposed to enhance students’ achievements. The main goal of this paper is to offer an outline at the data mining strategies which have been used to predict students’ overall performance. We may want to really enhance students’ achievement and success greater efficaciously in an efficient manner the use of academic records mining strategies. It could convey the benefits and affects to students, educators and educational institutions. 
Keywords: Educational Data Mining, Comparison, Student’s Performance.
Scope of the Article: Data Mining