• Mrs. Khushbu Gupta
• Ms. Esheeta Saha

In this recent era, educational institutes and government are concerned to improve the students’ performance so as to achieve good academic results. To make this thought work, a lot of manual efforts is being applied from past which were very tedious to tackle. As in the present day, increase in data and difficulty in tackling the data is creating a problem in getting out the useful information. So this problem is overcome with the help of educational data mining (EDM). EDM is playing a vital role to discover the hidden information out of the data which remains untouched. Many researchers and educational scholars have presented different attributes which are affecting the students’ performance. This paper reviews different classifiers which help to predict the root cause of affecting students’ academic performance. Further some areas where EDM could be applied to help students/instructors/teachers are mentioned here.

DM, EDM, KDD, GPA, CGPA, Weka, RapidMiner, R Tool, Python

"Review on Educational Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.318-321, April-2019, Available :http://www.jetir.org/papers/JETIR1904659.pdf

"Review on Educational 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. pp318-321, April-2019, Available at : http://www.jetir.org/papers/JETIR1904659.pdf