Explore –Journal of Research
Peer Reviewed Journal
ISSN 2278–0297 (Print)
ISSN 2278–6414 (Online)
Vol. XIV No. 2, 2022
© Patna Women’s College, Patna, India
A Literature Review on School Student Interest using Datamining Algorithms
• Khushbu Agrawal • Bhavana Narain
Received : April 2022
Accepted : May 2022
Corresponding Author : Khushbu Agrawal
Abstract : The educational performance plays a vital role in the classification of the student in school education. The student performance effect various factor like learning process, personal and social. This paper demonstrates the impact of student positive or negative performance of student success. With the help of data mining algorithm we predict the student dropout rate, which is helpful for academic progress. For this
we have reviewed various papers in three section algorithms, tools and dataset. These literatures help us to frame our technical work which will be continued in our future work.
Keywords : student performance, prediction, classification algorithm, data mining, academic performance
Khushbu Agrawal
Research Scholar,
MATS School of Information Technology,
MATS University, Raipur (c.g.), India
Email-id : khushi9r@gmail.com
Bhavana Narain
Professor,
MATS School of Information Technology,
MATS University, Raipur c.g.), India
