摘要
亚复杂系统干预规则挖掘是数据挖掘领域的新内容。综述了亚复杂系统干预规则研究背景和典型问题,通过实例,描述了干预规则挖掘领域一些基本概念和术语,如干预相关度、传递相关度、干预分型和干预代数等;介绍了在亚复杂系统干预规则挖掘的初步探索和成果,包括关于朴素干预规则和数值型干预规则挖掘算法,以及基于密度的数据流干预分析模型及相关结果。
Intervention rule Mining from Sub-Complex system （IMSC） is a new hot spot in data mining area. The background and typical problems in IMSC were surveyed. The related concepts and terminologies in IMSC were described, such as intervention eorrelation, intervention type and intervention algebra, the authors＇ research results were briefly introduced, including naive rules mining, numerieal intervention rules mining, and data stream intervention analysis based on density as well.
出处
《计算机应用》
CSCD
北大核心
2008年第11期2732-2736,2748,共6页
journal of Computer Applications
基金
国家自然科学基金资助项目(60773169)
"十一五"国家科技支撑计划项目(2006BAI05A01)
关键词
数据挖掘
亚复杂系统
干预规则
出生缺陷
data mining
Sub-Complex System （SCS）
intervention rule
birth defect
