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