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Rule Based Recommendation System for Performance Improvement in Engineering Institutions

Vijay Anand Sullare, R.S. Thakur


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.


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

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