摘要
在分析决策树算法及遗传算法的基础上,提出了一种将两种算法结合起来挖掘分类规则的新方法.实验证明,它不仅解决了数据挖掘中的“碎片”问题,同时还提高了分类的准确率.
Classification is a very important problem on data mining. Basing on analysis of decision tree and genetic algorithm, a new hybrid decision tree/senetic algorithm method is proposed. The experiment proved that it not only resuits the problem of small disjunets in data mining but also proved the classification accurate rate.
出处
《湘潭大学自然科学学报》
CAS
CSCD
北大核心
2006年第1期37-40,共4页
Natural Science Journal of Xiangtan University
基金
湖南省教育厅科学研究基金资助项目(02C064)
关键词
决策树
数据挖掘
遗传算法
分类规则
Decision tree
Data mining
Genetic algorithm
Classification rule
