Data Mining Techniques for Business Intelligence in Educational System: A Case Mining

被引：0
|
作者：
Khan, Mohiuddin Ali [1 ,2 ]
Gharibi, Wajeb [1 ]
Pradhan, Sateesh Kumar [2 ]
机构：
[1] Jazan Univ, Coll Comp Sci & Informat Syst, Jazan, Saudi Arabia
[2] Utkal Univ, Dept Comp Sci, Bhubaneswar, India
来源：
2014 WORLD CONGRESS ON COMPUTER APPLICATIONS AND INFORMATION SYSTEMS (WCCAIS) | 2014年
关键词：
Data mining (DM); educational data mining (EDM); educational systems; knowledge discovery; Business Intelligence;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In an educational system, monitoring the progress of students academic performance is a challenging issue. Currently there is an increasing interest in data mining and educational systems leading to the development of educational data mining. It helps in evaluating progression in an academic environment. In this paper, we have implemented Apriori algorithm for analysing student's result data, in order to monitor the progression of academic performance of students for the purpose of making an effective decision by the academic planners. This leads to better results thereby increasing the profitability of the educational institutions specially in the private institutions.
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页数：5
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