摘要
近年来,由大学生心理疾病引发的各种社会问题频发,把数据挖掘技术引入大学生心理健康状况的诊断研究具有其他技术不可比拟的优势,它能挖掘事物中隐含的规律。对决策树C4.5算法的原理进行阐述,并通过C4.5建立一个心理健康评估模型,构造决策树,由提取规则对心理健康进行预测。实验结果表明,该算法能将学生心理健康进行正确分类。挖掘结果能指导心理健康教育工作者制定正确的辅导计划,对辅助决策有很好的帮助。
In recent years,various types of social problems are stirred up from mental diseases of college students in a more frequent way.The method,bringing in the data mining technique to the study on college students＇ mental health diagnosis,has a predominant advantage against other techniques.It can dig out the invisible rules from the matters.In this paper we expatiate on the principles of C4.5 algorithm of decision tree,and set up a model which is used to evaluate students＇ mental health,as well as build a decision tree to predict students＇ mental health condition using extraction rules.The outcome of the experiment proved that the C4.5 algorithm of decision tree is capable of correctly classifying students＇ mental health conditions.Meanwhile,the mining results can help the mental health instructors to make proper assistant project and thus are very helpful to assisted decision making.
出处
《计算机应用与软件》
CSCD
2011年第10期240-244,共5页
Computer Applications and Software
