摘要
讨论了数据挖掘技术的研究进展 ,并对四种方法进行了深入的研究 :关联规则、离群数据、基于案例的推理、支持向量机 。
The author discusses the development of the research in data mining, and studies deeply four data mining methods: association rule, outlier data mining, case based reasoning, support vector machine. Finally the framework and model of an intelligent decision support system based on data mining are proposed.
出处
《淮南工业学院学报》
2002年第2期42-45,共4页
Journal of Huainan Institute of Technology(Natural Science)
关键词
知识发现
数据挖掘
关联规则
离群数据挖掘
支持向量机
数据库
knowledge discovery
data mining
association rule
case based reasoning
outlier data mining
machine of support vector
