摘要
设计了一种模糊关联规则挖掘算法——F-Apriori算法。在设计了支持度和置信度计算方法的基础上,该算法采用改进的Apriori算法挖掘数值属性的关联规则。实验结果表明,算法在规则生成方面显示了良好的性能。
In this paper it designs a fuzzy association rules algorithm based on Apriori algorithm. This algorithm, by introducing calculation methods of support and confidence, improve Apriori algorithm to mining association rules of quantity attribute. Experimental results have demonstrated the algorithm＇s good performance in rule building efficacy.
出处
《科技广场》
2009年第7期65-67,共3页
Science Mosaic
