摘要
针对KDD (基于数据库的知识发现 )主流发展中存在的典型问题提出了用知识库去制约与驱动数据库 ,并通过数据库改善知识库结构的知识发现的新思想 ,形成了具有双库协同机制的KDD的开放系统KDD ,从而提高了知识发现的速度、精度和认知自主性 ,并使知识库在结构上具备了实时维护与自我进化的能力 。
On the basis of paper (Ⅰ), this paper realized the reduction of the knowledge base and constructed the two coordinators and a component in the double bases cooperating mechanism. Furthermore, the KDD *, which is the combination of KDD and double bases cooperating mechanism, is constructed as an open and optimized enlargement of KDD. In the same time, this paper proposes a new association rule mining algorithm ——Maradbcm which is based on the study on the inner mechanism, i.e. double base cooperating mechanism, of KDD and explains the algorithm of Maradbcm and Apriori respectively. Through the analysis of the algorithm and examples, it is shown that the main disadvantage of Apriori, overall database searching and deleting meaningful rules by minimum support threshold during creating large item set, can be overcome by Maradbcm algorithm. Then this paper proposed a new clustering method based on double base cooperating mechanism. It is shown that the study of inner mechanism is important to the KDD mainstream development and it also provides a new path for the research in the area of knowledge discovery system. [
出处
《中国工程科学》
2002年第4期41-51,57,共12页
Strategic Study of CAE
基金
国家自然科学基金资助项目 (6983 5 0 0 1)
教育部科技重点资助项目 ([2 0 0 0 ] 175 )
关键词
KDD
数据库
知识发现
知识结点
本原知识库
本原数据库
数据子类结构
双库协同机制
knowledge discovery
double\|base cooperating mechanism
heuristic coordinator
interruptive coordinator
Maradbcm algorithm
numerical domain division algorithm
