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干预规则挖掘的任务分类和三项技术进展 被引量：4

Task classification of intervention rules mining and advances of three technologies
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摘要 介绍了亚复杂系统中干预规则的基本概念和挖掘方法,提出了干预规则挖掘技术的分类准则,综述了三项干预规则挖掘技术的最新进展,包括疾病状态干预技术、基于数据流的未知干预发现技术和基于并行事件序列的干预规则挖掘。在实践基础上分析了干预规则挖掘的难点,展望了进一步的研究工作。 The main contributions of this paper include： （1） introducing the basic concepts and mining methods of intervention rule over sub-complex system; （2） proposing the classification criteria for the tasks of intervention rules mining; （3） surveying the advances on three special mining techniques for intervention rules, including disease state intervention, intervention discovery from data streams, and intervention mining from parallel event sequences; （4） discussing the challenges and future research of intervention rules mining.
作者 唐常杰 段磊 王悦 杨宁 朱军 代礼
机构地区 四川大学计算机学院 中国出生缺陷监测中心
出处 《计算机应用》 CSCD 北大核心 2010年第1期10-14,共5页 journal of Computer Applications
基金 国家自然科学基金资助项目(60773169) 国家"十一五"科技支撑计划项目(2006BAI05A01)
关键词 干预规则挖掘 亚复杂系统 数据挖掘 intervention rules mining sub-complex system data mining
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献15

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二级参考文献120

共引文献191

同被引文献77

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