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Position: Home > Articles > Making Knowledge Base of Expert System Use Association Rules Journal of Agricultural Mechanization Research 2008 (7) 99-101

基于关联规则的农业专家系统知识库的建立

作  者:
张文静;卢海霞;杨捧;马冬来;徐静
单  位:
河北软件职业技术学院;河北农业大学信息科学与技术学院
关键词:
数据挖掘;关联规则;Apriori算法;专家系统;知识库
摘  要:
数据挖掘和专家系统同属人工智能领域。关联规则是数据挖掘的一种方法,其最典型的应用是超市的购物篮分析。专家系统主要解决的是智能推理问题而关联规则侧重于各个数据项之间有价值的联系。通过对关联规则的Apriori算法及规则的产生方法进行改动,挖掘出可应用于专家系统的知识库中的决策规则,从而找出了利用关联规则挖掘出用于决策规则的方法。
译  名:
Making Knowledge Base of Expert System Use Association Rules
作  者:
ZHANG Wen-jing1,LU Hai-xia1,YANG Peng1,MA Dong-lai2,XU Jing1(1.College of Information Science & Technology,Agricultural University of Hebei,Baoding 071001,China;2.Hebei Software Institute,Baoding 071003,China)
关键词:
datamining;association rule;apriori;expert system;knowledge base
摘  要:
Datamining and the Expert System both belong to the same Artificial Intelligence fields.Association rule is a method of datamining,whose typical application is the analysis of shopping basket in supermarket.The main task of expert system is to solve the problem of decision making,while association rule is to find out the valuable association of each items.By modifying the apriori arithmetic and the method of the making rules,we mine the decisive rule of database that could be applied to expert system,thereby find out the method of mining decisive rule using association rules.

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