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Predicting student attrition with data mining methods
Dursun Delen
Research output
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Contribution to journal
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Article
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peer-review
74
Scopus citations
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Keyphrases
Data Mining Techniques
100%
Student Attrition
100%
Student Retention
100%
Artificial Neural Network
100%
Popular
50%
Logistic Regression
50%
Students At-risk
50%
Attrition
50%
Prediction Accuracy
50%
Institutional Data
50%
Analytical Model
50%
Higher Education Institutions
50%
Freshmen Students
50%
Variable Importance Analysis
50%
Financial Well-being
50%
University Rankings
50%
Success Indicators
50%
School Reputation
50%
Decision Tree Regression
50%
Financial Variables
50%
Holdout Sample
50%
Institutional Perspective
50%
Computer Science
Data Mining Technique
100%
Artificial Neural Network
100%
Logistic Regression
50%
Prediction Accuracy
50%
Decision Trees
50%
Analytical Model
50%
Education Institution
50%
Nursing and Health Professions
Artificial Neural Network
100%
Logistic Regression Analysis
50%
Decision Trees
50%
At-Risk Student
50%
Economics, Econometrics and Finance
Logit Model
100%
Higher Education Institution
100%