摘要
数据分类是数据挖掘中的一个重要课题,被有效地应用于科学实验、医疗诊断、气象预报、商业预测等领域。常用的分类方法包括决策树、神经网络、遗传算法等。其中决策树是分类方法中的一个重要研究方向,由于其结构简单、可以清晰的生成便于人们理解的规则、效率高、以及适用大数据量等优点而被广泛使用。本文就几种常用的决策树生成算法进行较深入地分析和比较。
Data classification is an important topic in digital excavation,and being used for science tests,medical treatments,weather forecasts,and business predictions. The classification method in common use includes decision tree,neural net,the genetic calculation etc. Among them decision tree is a method of much more importance in the research direction. It is in a simple structure,easy to be established and understood,with high efficiency,and suitable to a great deal of data etc. It is used extensively due to al...
出处
《天津市财贸管理干部学院学报》
2008年第2期19-20,共2页
Journal of Tianjin Institute of Financial and Commercial Management
关键词
数据挖掘
决策树
决策树算法
digital excavation
decision tree
calculate ways of decision trees