摘要
以数据挖掘与知识发现的分类为切入点,详细探讨数据挖掘与知识发现的关系。总结出关于数据挖掘与知识发现的关系问题有三种观点,即数据挖掘就是知识发现,数据挖掘是知识发现的一个步骤,数据挖掘与知识发现是完全不同的两个概念。三种观点各有道理,取决于研究者的研究背景、研究范畴与目标。最后对数据挖掘与知识发现的发展趋势进行探讨。
Proceeding from the classification of data mining and knowledge discovery, this paper discusses the relationship between Data Mining (DM) and Knowledge Discovery (KD) in depth. There are 3 viewpoints about the relationship between DM and KD, that is, DM is KD, DM is a step of KD, and DM is entirely different from KD. The 3 viewpoints are all reasonable. It depends on the research background, research scope and goal of the researchers. Finally, the paper discusses the development trend of DM and KD.
出处
《情报理论与实践》
CSSCI
北大核心
2008年第4期507-510,共4页
Information Studies:Theory & Application
关键词
数据挖掘
知识发现
相关性研究
规则
data mining
knowledge discovery
relativity research
rules