Student Performances Prediction Based on Improved C4.5 Decision Tree Algorithm

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

Data mining is a new technology and has successfully applied on a lot of fields. In this paper we applied a decision tree for mining the information that hides inside the student scores. In this paper, the C4.5 decision tree algorithm is improved. Using this improved algorithm, the decision tree model is produced and the classification rules are extracted. Finally, student performances are predicted. This technology helps a lot in middle school teaching improvement, and the quality of teaching becomes better.

Keywords

Data mining C4.5 algorithm College exam scores prediction 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Computer, Electronics and InformationGuangxi UniversityNanningChina

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