Abstract: Educational Data Mining (EDM) is an rising ground search data in educational background by relating different Data Mining (DM) techniques/tools. It gives basic knowledge of teaching and learning method for useful education development. Educational data mining (also referred to as “EDM”) is clear as the area of scientific query centered around the growth of methods for making discoveries within the single kinds of data that come from educational background, and using those technique to better identify students and the background which they be trained in. This boost in rapidity and feasibility has had the advantage of making imitation much more possible. This paper addresses the purpose of data mining in educational society to pull out useful information from the vast data sets and providing logical tool to analysis and use this information for decision making processes by taking real life examples.
Keywords: Educational Data Mining (EDM); Classification; Knowledge Discovery in Database (KDD); ID3 Algorithm. Higher education,, Data mining, Knowledge discover, Classification, Association rule, Prediction.
Title: A Review on Role of Data Mining Techniques in Enhancing Educational Data to Analyze Student’s Performance
Author: Dr N. Preethi, Deepak Goswami
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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