DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW

Author:

Sharma Pragati,Sharma Dr. Sanjiv

Abstract

Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge from data that come from educational field and it helps to extract the hidden patterns and to discover new knowledge from large educational databases with the use of data mining techniques and tools. Extracted knowledge from educational mining can be used for decision making in higher educational institutions. This paper is based on literature review of different data mining techniques along with certain algorithms like classification, clustering etc. This paper represents the effectiveness of mining techniques with educational data set for higher education institutions.

Publisher

Granthaalayah Publications and Printers

Reference27 articles.

1. R. Sumitha and Vinothkumar, “Prediction of Students Outcome Using Data Mining Techniques”, International Journal of Scientific Engineering and Applied Science, Volume-2, Issue-6, June 2016

2. Amirah mohamed Shahiri, Wahidah Husain, “A Review on Predicting Student's Performance Using Data Mining Techniques”, ELSEVIER, Volume 72, Pages 414-422, 2015.

3. Pooja Thakar, Anil Mehta, “Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue”, International Journal of Computer Applications, Volume 110 – No. 15, January 2015.

4. C.Anuradha and T. Velmurugan, “A Comparative Analysis on the Evaluation of Classification Algorithms in the Prediction of Students Performance”, Indian Journal of Science and Technology, Vol 8(15), 2015.

5. Sagar Nikam, “A Comparative Study of Classification Techniques in Data Mining Algorithms”, Oriental journal of computer science &technology, Vol. 8, Pgs. 13-19, 2015.

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