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决策树算法在大学生心理健康测评系统中的应用
引用本文: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[J]. 计算机系统应用, 2015, 24(11): 230-234
作者姓名:亓文娟  晏杰
作者单位:武夷学院数学与计算机学院, 武夷山 354300,武夷学院数学与计算机学院, 武夷山 354300
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)
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.

关 键 词:数据挖掘  决策树  C5.0算法  心理健康
收稿时间:2015-02-27
修稿时间:2015-04-15

Applying Decision Tree Algrithm in College Students' Mental Health Assessment System
QI Wen-Juan and YAN Jie. Applying Decision Tree Algrithm in College Students' Mental Health Assessment System[J]. Computer Systems& Applications, 2015, 24(11): 230-234
Authors:QI Wen-Juan and YAN Jie
Affiliation:Mathematics and Computer Science college, Wuyi University, Wuyishan 354300, China and Mathematics and Computer Science college, Wuyi University, Wuyishan 354300, China
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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