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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Student Performances Prediction Based on Improved C4.5 Decision Tree Algorithm
verfasst von : Ping Gu, Qi Zhou
Erschienen in: Emerging Computation and Information teChnologies for Education
Verlag: Springer Berlin Heidelberg
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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.