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论文摘要

PHVB:基于GEP的一阶谓词逻辑规则挖掘算法

A Novel First-Order Predicate Logic Rule Mining Algorithm Based on GEP

作者:左劼(四川大学);唐常杰(四川大学);陈瑜(四川大学);徐开阔(四川大学);林夏祥(四川大学);朱军(中国出生缺陷监测中心)

Author:ZUO Jie(Sichuan University);TANG Chang-jie(Sichuan University);陈瑜();徐开阔();林夏祥();朱军()

收稿日期:2008-05-06          年卷(期)页码:2008,40(6):115-120

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:一阶谓词逻辑,基因表达式编程,数据挖掘

Key words:First Order Predicate Rule, Gene Expression Programming, Data Mining

基金项目:国家自然科学基金

中文摘要

为了有效挖掘一阶谓词逻辑规则,本文提出了一种基于基因表达式编程(GEP)技术的挖掘算法:PHVB算法。主要工作包括:提出了规范一阶谓词规则概念;设计了量词隐含、变元绑定策略,将一阶谓词规则挖掘问题转化为GEP算法能够解决的形式;提出了基于GEP的一阶谓词逻辑规则挖掘算法PHVB算法;翔实的实验结果表明,采用PHVB算法可以有效发现一阶谓词关联规则。

英文摘要

In order to mining the first-order predicate logic rule effectivly, this paper proposes a novel first-order predicate logic rule mining algorithm PHVB algorithm based on Gene Expression Programming(GEP). The main contributions includes: Proposes a new formal concept of the first-order predicate logic rule; proposes two strategies, quantifier-free strategy and Variables Bounding strategy, which make it is easy to deal with the first-order predicate logic rule mining with GEP; proposes a novel first-order predicate rule mining algorithm PHVB algorithm. Extensive experiments demonstrate that the feasibility and the efficiency of PHVB is high.

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