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Received:February 27, 2015 Revised:April 15, 2015
Received:February 27, 2015 Revised:April 15, 2015
中文摘要: 决策树是非常流行的数据挖掘方法.介绍了决策树的理论,分析了决策树的构造,讨论了C5.0算法的思想及其优缺点,同时为深入了解影响大学生心理健康的主要心理症状及因素,将C5.0算法应用于大学生心理健康测评数据,根据挖掘结果可以更深入的了解学生心理健康问题,为高校开展好大学生心理健康教育有着现实的意义.
Abstract:Decision tree is a very popular method of data mining. This paper introduces the theory of decision tree to analyze the structure of the decision tree, C5.0 algorithm discussed the idea of their advantages and disadvantages. in-depth understanding of the main factors of psychological symptoms and mental health of college students, the C5.0 algorithm is applied mental Health assessment data mining results based on a better understanding of students' mental health problems, to carry out a mental health education colleges and universities have practical significance.
keywords: data mining decision tree C5.0 algorithm mental health
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基金项目:武夷学院校科研基金资助项目(XL201307);福建省"大学生创新训练计划"项目(201310397022)
引用文本：
亓文娟,晏杰.决策树算法在大学生心理健康测评系统中的应用.计算机系统应用,2015,24(11):230-234
QI Wen-Juan,YAN Jie.Applying Decision Tree Algrithm in College Students' Mental Health Assessment System.COMPUTER SYSTEMS APPLICATIONS,2015,24(11):230-234
亓文娟,晏杰.决策树算法在大学生心理健康测评系统中的应用.计算机系统应用,2015,24(11):230-234
QI Wen-Juan,YAN Jie.Applying Decision Tree Algrithm in College Students' Mental Health Assessment System.COMPUTER SYSTEMS APPLICATIONS,2015,24(11):230-234
