摘要
分类在数据挖掘中是一项非常重要的任务,决策树方法是一种常用的方法。本文重点介绍了决策树建立的基本原理,对算法所面临的问题进行了阐述,为数据分类研究者提供借鉴。
Classification is a very important task in Data mining. Decision tree is one of the common classification algorithms. This paper mainly introduces the principles of building decision tree and elaborates on the problems faced by the algorithm so as to provide convenience for data classification researchers.
出处
《宁波广播电视大学学报》
2008年第3期113-115,共3页
Journal of Ningbo Radio & TV University
关键词
数据挖掘
决策树算法
分类
data mining
decision tree algorithm
Classification