Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Rule Based Recommendation System for Performance Improvement in Engineering Institutions


Affiliations
1 M.G.C.G.V., Chitrakoot, Satna, M.P., India
2 M.A.N.I.T., Bhopal, India
     

   Subscribe/Renew Journal


Higher education plays an important role in economy of any nation countries like India need a good higher education to face the challenges of this new era. Manifold growth has been found in the higher education in India in last decade. But there is need to focus more on our education system. The paper aims at the use of data mining techniques for improving the efficiency of higher educational institutions. The association rule mining Techniques can be applied to higher education processes, to help improve student's performance of an institution. This paper contains a methodology to examine the performance of engineering graduate student based on their continuous evaluation and locality. We present an approach based on association rule mining techniques to identify the strategies for improving the performance of students.

Keywords

Association Rule Mining, Recommendation System Educational Data Mining, Knowledge Representation, Higher Education System.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 273

PDF Views: 2




  • Rule Based Recommendation System for Performance Improvement in Engineering Institutions

Abstract Views: 273  |  PDF Views: 2

Authors

Vijay Anand Sullare
M.G.C.G.V., Chitrakoot, Satna, M.P., India
R. S. Thakur
M.A.N.I.T., Bhopal, India

Abstract


Higher education plays an important role in economy of any nation countries like India need a good higher education to face the challenges of this new era. Manifold growth has been found in the higher education in India in last decade. But there is need to focus more on our education system. The paper aims at the use of data mining techniques for improving the efficiency of higher educational institutions. The association rule mining Techniques can be applied to higher education processes, to help improve student's performance of an institution. This paper contains a methodology to examine the performance of engineering graduate student based on their continuous evaluation and locality. We present an approach based on association rule mining techniques to identify the strategies for improving the performance of students.

Keywords


Association Rule Mining, Recommendation System Educational Data Mining, Knowledge Representation, Higher Education System.