Book Details

A REVIEW ON PREDICT THE STUDENT PERFORMANCE USING CLASSIFICATION METHODS IN DATA MINING

Sri Vasavi College, Erode Self-Finance Wing, 3rd February 2017. National Conference on Computer and Communication, NCCC’17. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

Nowadays, student database have large amount of datasets. Mining student database is important to predict the student who are at risk and then train the students to improve their performance. Predict student performance is a basic need of higher educational institutions. A criterion of the best educational institution is based on its excellent academic achievements. Predict the student performance using data mining techniques are classification, clustering. Compare classification and clustering, classification techniques are gave high accuracy. In this paper, I have discussed about various classification algorithms are highly used in predict the student performance

References

[1]. Jiawei Han, Micheline kamber, Jian Pei, “Data mining : Concepts and techniques”, 3rd edition, 2012.

[2]. M.of Education Malysia, National higher education strategic plan (2015).

[3]. Osman Gursoy, Mehmet Akif Yaman, Emine yaman, “Performance analysis on student’s GPAs and Course averages using data mining techniques”, Research gate, conference paper January 2011.

Keywords

Data mining, Educational Data Mining, Classification methods.

Image
  • Format Volume 5, Issue 1, No 13, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author C.Francytheresa, Dr. G.Kesavaraj
  • Reference IJCS-217
  • Page No 1354-1358

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