A new knowledge discovery method for scientific and technologic database

作     者：DezhengZhang LianyingSun 等 

作者机构：InformationEngineeringSchoolUniversityofScienceandTechnologyBeijingBeijing100083China ChinaUniversityofMiningandTechnologyBeijing100083China 

出 版 物：《Journal of University of Science and Technology Beijing》 (北京科技大学学报（英文版）)

年 卷 期：2002年第9卷第3期

页      面：237-240页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0819[工学-矿业工程] 0806[工学-冶金工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 

基　　金：[This work was financially supported by the National Natural Science Foundation of China (No. 69835001).] 

主　　题：knowledge discovery statistic induction fuzzy language field 

摘      要：A new algorithm for the knowledge discovery based on statistic inductionlogic is proposed, and the validity of the methods is verified by examples. The method is suitablefor a large range of knowledge discovery applications in the studying of causal relation,uncertainty knowledge acquisition and principal factors analyzing. The language filed description ofthe state space makes the algorithm robust in the adaptation with easier understandable results,which are isomotopy with natural language in the topologic space.