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
Downloads:
|
DOI:
10.17148/IJARCCE.2023.12820
How to Cite:
[1] Dr Himanshu Maniar, "An 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
