Artificial Intelligent Systems and Machine Learning

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Analysis of Student Performance Using Mining Technique:A Review


Affiliations
1 Department of Computer Sc. & Engg, Govt. Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot, Satna M.P., India
2 Maulana Azad National Institute of Technology, Bhopal, India
3 Govt. Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot, Satna M.P., India
     

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Today's higher education is one of the needs of any students for growing his life.One of the biggest challenges with higher education is thatinstitutions would like to know, which students will enroll in which course, and which students will need more assistance in particular subject and what efforts should be taken for weak students.Data mining is one of the powerful tools to extract knowledge from large educational database and it can be used for decision making in educational system.

In this paper data mining techniques such as clustering,Association, Rule mining etc. based work is analyzed which will give direction to the educational institution for improving performances of their students. This review also helps to researchers for choosing appropriate data mining techniques to analyzed student data.


Keywords

Educational Data Mining, Association Rule Mining, Classification, Clustering, Soft Computing.
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  • Analysis of Student Performance Using Mining Technique:A Review

Abstract Views: 255  |  PDF Views: 2

Authors

Vijay Anand Sullare
Department of Computer Sc. & Engg, Govt. Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot, Satna M.P., India
R. S. Thakur
Maulana Azad National Institute of Technology, Bhopal, India
Bharat Mishra
Govt. Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya, Chitrakoot, Satna M.P., India

Abstract


Today's higher education is one of the needs of any students for growing his life.One of the biggest challenges with higher education is thatinstitutions would like to know, which students will enroll in which course, and which students will need more assistance in particular subject and what efforts should be taken for weak students.Data mining is one of the powerful tools to extract knowledge from large educational database and it can be used for decision making in educational system.

In this paper data mining techniques such as clustering,Association, Rule mining etc. based work is analyzed which will give direction to the educational institution for improving performances of their students. This review also helps to researchers for choosing appropriate data mining techniques to analyzed student data.


Keywords


Educational Data Mining, Association Rule Mining, Classification, Clustering, Soft Computing.