摘要
一、前言数据是知识的潭泉,拥有大量的数据与拥有许多有用的知识完全是两回事.为了有效地利用大量的公共数据,必须更好地理解这些数据,并从其中快速、准确地发现知识.这里所说的知识是指大量数据中存在的规律性(r egularity)或不同属性值之间所存在的[I F THEN〕规则.将所获取的知识附加于仅由事实数据(fact data)构成的传统数据库上,既可强化数据库的查询能力,又可给数据库提供推理能力,
Knowledge discovery in large databases is a developing area which would have a lot of applications in many real fields. In this paper,the relation between knowledge dicovery and machine learning are analyzed. While we introduced its present situation and some problems to exist, the tactics we should take are proposed. In last,a system frame is given.
出处
《计算机科学》
CSCD
北大核心
1994年第5期48-50,共3页
Computer Science
关键词
数据库
知识获取
人工智能
Database,Knowledge base, Knowledge discovery ,Machine learning.
