Application of Decision Tree in Student Achievement Evaluation

Author

Xiaojian Long ; Yuchun Wu

Author_Institution

Sch. of Continuing Educ., Jinggangshan Univ., Jian, China

Volume

2

fYear

2012

fDate

23-25 March 2012

Firstpage

243

Lastpage

247

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.169

Filename

6188011