摘要
潜信息挖掘是数据挖掘的核心内容 .本文应用可拓论 ,提出了基于物元可拓性的潜信息挖掘方法 ,探讨了潜信息挖掘的发散性方法 ,相关性方法和蕴含性方法 ,这些方法与现有的数据挖掘方法相兼容 ,相互补充 ,相得益彰 .
Potential information mining is the kernel content of data mining. The paper uses extension theory and puts forward the potential information mining methods based on matter-element extensibility, and probes into the divergent method, correlative method and implicit method of potential information mining. These methods and the current data mining methods are compatible and are mutually complementary.
出处
《数学的实践与认识》
CSCD
北大核心
2001年第5期569-575,共7页
Mathematics in Practice and Theory
基金
国家自然科学基金 (79870 1 0 7)
关键词
潜信息
数据挖掘
物元可拓性
potential information
data mining
matter-element extensibility
