摘要
基于一阶谓词逻辑的一阶规则挖掘方法可处理多表挖掘且具有强的知识表达能力,成为数据挖掘(DM)技术中一种渐受重视的新方法。为了解决现有方法规则获取的性能瓶颈问题,该文提出了一种新的基于遗传算法的一阶规则挖掘算法(GILP)。实验结果表明,GILP算法能有效地挖掘一阶规则。
Because of being able to handle with multiple tables and strong knowledge representation ability,first-order rules miner has gained great significance as a new method in data mining.In order to solve the performance problem of existing technique,A new algorithm(GILP),making use of genetic algorithm to mine first -order rules,has been presented.Experiments show that GILP is good for learning first-order rules.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第17期28-30,共3页
Computer Engineering and Applications
基金
国家自然科学基金(编号:60173014)
北京市自然科学基金(编号:4022003)
