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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Performance Analysis of various Data mining Algorithms in Educational Domain Datasets

[Full Text]

 

AUTHOR(S)

Nandini N

 

KEYWORDS

Clustering, correlation, data mining algorithms, educational data mining, KStar, PART, WEKA.

 

ABSTRACT

Educational data mining applications are widely accepted now a day as they will help in analyzing and predicting information’s useful for enhancing educational growth. One of the major applications of this kind is the prediction of student performance in higher education. This will help the stakeholders to understand the effect of various factors in academic performance thereby enabling them to take immediate and adequate remedial actions. This research aims to understand the various attributes and their impact on the students’ academic performance. A synthetic dataset is chosen to experiment with the various data mining algorithms. Further a real time data set collected from a high school is also experimented with similar algorithms.

 

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