改进关联规则算法在贴片机数据挖掘中的应用

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

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。

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.