• Mrs. S.Menaka
• Dr. G.Kesavaraj

Educational Data Mining (EDM) is the field by means of data mining techniques in learning environments. Applying data mining technique in inculcate setting is called as Educational Data Mining (EDM) and is a field that exploits statistical, machine learning, and data-mining (DM) algorithms over the variants of educational data. Existing methods have used features which are mostly associated to educational presentation, family income and family resources, while features belonging to family expenditures and students’ individual information are usually ignored. In this article, an effort is made to examine aforementioned feature sets by collecting the scholarship holding students’ data from different universities of India. Knowledge analytics, discriminative and generative classification models are applied to expect whether a student will be able to absolute his degree or not. We introduce the Weka tool and C4.5 algorithm to analyze replicating studies and discuss the importance of replicating and reproducing previous work. We describe the state of the art in collecting and sharing programming data. To better know the challenges concerned in replicating or reproducing presented studies.

Educational data mining, Programming, Learning analytics, Replication and Literature review

"A STUDY ON E-LEARNING SYSTEM TO ANALYSE STUDENT PERFORMANCE USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.75-81, April-2019, Available :http://www.jetir.org/papers/JETIRBI06014.pdf

"A STUDY ON E-LEARNING SYSTEM TO ANALYSE STUDENT PERFORMANCE USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp75-81, April-2019, Available at : http://www.jetir.org/papers/JETIRBI06014.pdf