Computer and Modernization
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Abstract: According to the achievements of the vocational students, k-means cluster analysis algorithm is applied to divide the degrees of the student’s achievements, then the R-C4.5 algorithm is applied to build the decision tree, finally rules are extracted by the decision tree to analyze the relationship between the achievement of each subject and the student’s final total achievement. By this algorithm the meaningless branch of the decision tree can be reduced, and the main fator which affecting the student’s total achievement can be mined effectively, thus providing references to teachers and teaching managers to make teaching plans, carrying out teaching activities, and evaluating the teaching results.
Key words: achievement relativity, k-means cluster analysis algorithm, decision tree, R-C4.5 algorithm
LONG Jun-yu. Analysis of Student’s Achievements Based on Mean Cluster and Decision Tree Algorithm[J]. Computer and Modernization.
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http://www.c-a-m.org.cn/EN/Y2014/V0/I6/79