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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 8, AUGUST 2023

An overview of Data Mining Technique To Find Out Student DropOut Ratio For College

Dr Himanshu Maniar

DOI: 10.17148/IJARCCE.2023.12820

Abstract: Predicting student dropout using data mining is an important application in the field of education. Dropout prediction models can help educational institutions identify at-risk students early and provide appropriate interventions to improve retention rates.

Keywords: Data Mining, Decision Tree, Deep Learning, Survival Analysis

How to Cite:

[1] Dr Himanshu Maniar, β€œAn overview of Data Mining Technique To Find Out Student DropOut Ratio For College,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12820