摘要
根据日常商务数据的特点,提出了商业应用系统中进行数据挖掘的改进的Apriori算法和对点击流数据进行挖掘的改进的多支持度关联规则算法,并结合具体实例进行了分析.分析结果表明,2种改进的算法可以有效地提高系统数据挖掘的效率.
According to the characteristics of business data improved Apriori algorithm for ordinary data analysis and association rule of multiple minimum supports for click stream data mining were put out,these two algorithms were applied to practical data,the result showed that,the improved algorithms can work efficiently in practice.
出处
《华北水利水电学院学报》
2009年第5期73-76,共4页
North China Institute of Water Conservancy and Hydroelectric Power
