Title :
Application of Decision Tree in Student Achievement Evaluation
Author :
Xiaojian Long ; Yuchun Wu
Author_Institution :
Sch. of Continuing Educ., Jinggangshan Univ., Jian, China
Abstract :
Base on the large amounts of data accumulated in educational Administration system lacking intelligent data analysis tools, decision tree analysis model of student achievement was built by using decision tree algorithms in data mining, the model had been optimized by using after pruning algorithm, and classification rules had been generated, it provided basis of decision making for educational reform. Experiments showed that the classification of decision tree constructed by C4.5 algorithm had high accuracy.
Keywords :
data analysis; decision making; decision trees; educational administrative data processing; pattern classification; C4.5 algorithm; classification rule; data mining; decision making; decision tree analysis model; decision tree classification; educational administration system; educational reform; intelligent data analysis tools; pruning algorithm; student achievement evaluation; Analytical models; Classification algorithms; Data mining; Data models; Decision trees; Educational institutions; after pruning; c4.5 algorithm; data mining; decision tree;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.169
