Predicting Students Performance and Review on EDM: Machine Learning Theory |
Author(s): |
| Aarti Gehlot , SIMS,indore; Dr. Pankaj Dashore, SIMS,Indore |
Keywords: |
| Data mining, EDM, K-means, Decision Tree, Students data |
Abstract |
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Machine Learning is very emerging technology that is used in each and every system. Education data mining is very important disciplines, because the result of student is so important for their future and the amount of data in education system is increasing day by day .In education it is relatively new but its importance increases because of increasing database. There are many approach for measuring students’ performance .data mining is one of them .With the help of data mining the hidden information in the database is get out which help for improvement of students’ performance education data mining is used to study the data available in education field to bring the hidden data i.e. important and useful information from it. There are many methods of machine learning which is used to analysis of students’ performance clustering method like K-means is most used to measure the students’ performance. With the help of these it is easy to improve the result and future of students. More methods like classification, regression, time series, and neural network can also be applied. |
Other Details |
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Paper ID: IJSRDV8I70009 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 850-853 |
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