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。
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.
出处
《贵州大学学报（自然科学版）》
2009年第2期71-73,77,共4页
Journal of Guizhou University:Natural Sciences
关键词
分类
决策树
高考
classification
decision tree
national college entrance examination
