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Educational Data Mining: Review


Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, India
 

As the cost of processing power and storage is coming down, data storage became easier and cheaper so the amount of data stored in educational databases is increasing rapidly and in order to find precious hidden information from such large data we can use different data mining techniques. Data mining has potential in analyzing and uncovering previously unknown information from huge size educational data which is hard and very time consuming if to be done manually. The purpose of this review is to look into how the data mining is used in educational research and find out the capabilities of data mining in context of educational data.

Keywords

Data Mining, EDM, Classification, Clustering, Prediction.
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  • Educational Data Mining: Review

Abstract Views: 143  |  PDF Views: 4

Authors

Paramjit Kaur
Department of Computer Engineering, Punjabi University, Patiala, Punjab, India
Kanwalpreet Singh Attwal
Department of Computer Engineering, Punjabi University, Patiala, Punjab, India

Abstract


As the cost of processing power and storage is coming down, data storage became easier and cheaper so the amount of data stored in educational databases is increasing rapidly and in order to find precious hidden information from such large data we can use different data mining techniques. Data mining has potential in analyzing and uncovering previously unknown information from huge size educational data which is hard and very time consuming if to be done manually. The purpose of this review is to look into how the data mining is used in educational research and find out the capabilities of data mining in context of educational data.

Keywords


Data Mining, EDM, Classification, Clustering, Prediction.