摘要
介绍了一个面向应用领域的知识发现系统开发平台KDIST。将数据挖掘技术巧妙地封装在应用领域的问题中,使开发出的知识发现系统操作傻瓜化,用户无须关心数据挖掘本身,有效地减轻了领域用户使用负担,提高了数据挖掘技术实用性。所开发出的知识发现系统将挖掘得到的知识融合到已有专家系统的知识库中。两个实例系统的应用证明知识发现系统是专家系统自动半自动知识获取和知识库精化的良好工具。
A universal development environment called KDIST, which is used to develop application domain-oriented knowledge discovery systems (KDS), is presented. The KDS is modeled by a number of function modules, each of which is scheduled to acquire from data knowledge related to a specific domain problem. According to the characteristics of the domain problem, a mining scheme is made for the corresponding function module, including data-preprocessing method and mining algorithm. The discovered knowledge in KDS can then be fused into knowledge bases of existing expert systems. Two real-use KDSs developed by KDIST are introduced and proved to be effective on automatic knowledge acquisition and knowledge refinement. Several data mining algorithms are also discussed.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第11期47-49,共3页
Computer Engineering
基金
国家自然科学基金资助项目(69835001)
国家"863"计划基金资助项目(2001AA115170)
关键词
数据挖掘
知识发现系统
自动知识获取
知识精化
Data mining
Knowledge discovery system
Automatic knowledge acquirement
Knowledge refinement
