• Miss. Sapna G. Tamboli
• Prof Bhushan Chaudhari

It is important to study and analyze educational data especially students’ performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was to develop a model which can derive the conclusion on students' academic success. This study is equally concerned with this subject, specifically, the students’ performance. This study explores multiple factors theoretically assumed to affect students’ performance in higher education, and finds a qualitative model which best classifies and predicts the students’ performance based on related personal and social factors.

Data Mining; Education; Students; Performance; Patterns, Educational Data Mining, Rapid Miner.

"Implementation of Data Mining Algorithms for Students data using RapidMiner: An Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.309-315, May-2019, Available :http://www.jetir.org/papers/JETIR1905449.pdf

"Implementation of Data Mining Algorithms for Students data using RapidMiner: An Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp309-315, May-2019, Available at : http://www.jetir.org/papers/JETIR1905449.pdf