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基于关联规则的农业专家系统知识库的建立 被引量:8

Making Knowledge Base of Expert System Use Association Rules
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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。 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 deeisive rule using association rules.
出处 《农机化研究》 北大核心 2008年第7期93-95,共3页 Journal of Agricultural Mechanization Research
关键词 数据挖掘 关联规则 APRIORI算法 专家系统 知识库 datamining association rule apriori expert system knowledge base
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参考文献3

  • 1R. Agrawal, T. Imielinski, A. Swami. Mining association rules between sets of items in large databases [ C ]// Proceedings of the ACM SIGMOD Conference on Management of data, p.p. Boston,MA,USA, 1993 : 207 -216.
  • 2R. Agrawal, R. Srikant. Fast algorithms for mining association rules in large database [ R]. Technical Report FJ9839, IBM Almaden Research Center, San Jose, CA, 1994.
  • 3Aggarwal C, Agarawal R, Prasad V V V. Depth First Generation of Long Patterns[ C]//In:The 6th ACM SIGKDD Intl. Conf. on Knowledge Discovery & Data Mining, Boston, MA,USA ,2000.

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