Predictive modeling of student dropout indicators in educational data mining using improved decision tree

Keyphrases

• Academic Data 33%
• Association Function 33%
• Classification Accuracy 33%
• Classification Algorithms 33%
• Decision Algorithm 66%
• Decision Tree 33%
• Educational Context 33%
• Educational Data 66%
• Educational Data Mining 100%
• Enrolment Rates 33%
• Entropy Information 33%
• Gain Function 33%
• ID3 Algorithm 33%
• Improved Decision Tree 100%
• Improved Decision Tree Algorithm 100%
• India 33%
• Information Associations 33%
• Information Gain 33%
• Institutional Data 33%
• Interdisciplinary Research 33%
• Methods Statistical 33%
• Prediction Accuracy 33%
• Predictive Modeling 100%
• Rényi Entropy 33%
• Sociodemographic Data 33%
• Statistical Analysis 33%
• Student Dropout 100%
• Traditional Classification 33%
• Undergraduate Students 33%
• University Administrators 33%

Computer Science

• Classification Accuracy 33%
• Classification Algorithm 33%
• Decision Tree Algorithm 100%
• Decision Trees 100%
• Educational Context 33%
• Educational Data Mining 100%
• Information Gain 33%
• Interdisciplinary Research 33%
• Prediction Accuracy 33%
• Undergraduate Student 33%

Social Sciences

• Data Mining 100%
• Decision Tree 100%
• Educational Objectives 20%
• India 20%
• Interdisciplinary Research 20%
• Managers 20%
• Sociodemographics 20%