从数据库中发现知识的方法研究与应用  

Research and Application for an Approach of Knowledge Discovery in Database

作　　者：赛英[1] 陈文伟[1] 

机构地区：[1]国防科技大学系统工程与数学系,410073

出　　处：《管理科学学报》1999年第3期92-96,共5页Journal of Management Sciences in China

基　　金：国家自然科学基金!79670019

摘　　要：知识发现与数据开来是90年代中期兴起的决策支持新技术．本文以近年来获得快速发展的粗集方法为基础，从数据库中自动抽取相关属性，发现知识，提出了最小属性集算法以及规则化简算法，从而改进粗集方法使之得到实用的规则，并应用于一个疾病诊断．Knowledge mining and discovery is a new technology for decision sapport system beginning in thd middle of 1990' s. In this paper, based on the rough set theory that has been developing very fast in re-cent years, we put forward an algorithm for finding a minimal attribute set of the database being minedand also anoher algorithm for simplifying the discovered rules. We improve the rough set mehod in such a way that it can generate more appropriate rules. In the end, we give an application in disease diagnosis.

关 键 词：粗集 最小属性集 数据开采 知识发现 数据库 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]