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Application of improved algorithm of association rules in surface mounter data mining

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  • Received:2007-10-12 Revised:2007-12-10 Online:2008-04-01 Published:2008-04-01
  • Contact: Guang-Wei Wang

基于决策属性的关联规则挖掘优化算法

王光伟 刘椿年 冀俊忠   

  1. 北京工业大学计算机学院
  • 通讯作者: 王光伟

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Abstract: In data mining on the surface mounter data, association rules generate too many rules to digest. The method of specifying single decision attribute as consequent was investigated. Concerning the condition constraint, an improved algorithm of association rules based on decision attribute was given. The results show that rules got by this method are concise and valuable. Furthermore, the generation of frequent item sets is improved remarkably, thus rapid data mining is achieved.

Key words: surface mounter, consequent, single attribute, decision attribute, frequent item sets

摘要： 针对贴片机的数据挖掘课题中，关联规则生成规则数较多而不易于分析的问题，研究了单决策属性作为规则后件的方法，对实际应用中存在条件约束的情况进行了分析，提出了基于决策属性的关联规则挖掘优化算法。应用结果表明这样得到的规则简洁明确,规则具有实用价值,并且频繁集优化的效果显著,达到了快速挖掘的目的。

关键词: 贴片机, 规则后件, 单属性, 决策属性, 频繁集

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