摘要
首先介绍了分类的概念,讨论了分类分析的步骤,阐述了用于构造模型的决策树算法,进一步讨论了决策树学习中出现的常见问题的解决方法。层层细化地展示了应用分类方法挖掘数据的方法,为实际应用提供了依据。
This paper introduces the concept of classification, discusses the step of classification analysis, describes the decision tree algorithm for structuring model, and further discusses solutions of common problems which appear in decision tree study. It demonstrates the application of data mining in detail. This provides a basis for practical application.
出处
《计算机与现代化》
2008年第3期29-31,共3页
Computer and Modernization
关键词
数据挖掘
分类
决策树
data mining
classification
decision tree
