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决策树算法在高考志愿填报中的应用
引用本文:代昆玉,胡滨.决策树算法在高考志愿填报中的应用[J].贵州大学学报(自然科学版),2009,26(2):71-73,77.
作者姓名:代昆玉  胡滨
作者单位:贵州大学计算机科学与信息学院,贵州,贵阳,550025
摘    要:分类是数据挖掘的重要组成部分,它根据类标号己知的数据建立模型,进而使用该模型来预测类标号未知的数据所属的类。在众多的分类算法中决策树方法在可理解度、易训练性、易实施性和通用性等方面优于其他的分类方法。选择将决策树分类法应用到高考志愿填报研究中。

关 键 词:分类  决策树  高考

Decision Tree and Its Application in the National College Entrance Examination
DAI Kun-yu,HU Bin.Decision Tree and Its Application in the National College Entrance Examination[J].Journal of Guizhou University(Natural Science),2009,26(2):71-73,77.
Authors:DAI Kun-yu  HU Bin
Institution:College of Computer and Information;Guizhou University;Guiyang 550025;China
Abstract:Classification is a very important task in Data Mining.It builds a model according to the data whose class labels are known,and then uses this model to predict the classes of the data whose class labels are unknown.Among famous classified algorithms,the Decision Tree exceeds the others in the feature of well understanding,well training and achievable.In this paper,the Decision Tree classified method was adopted in the application of higher education.
Keywords:classification  decision tree  national college entrance examination  
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