The Research of Data Mining Algorithm Based on Association Rules

摘要：

　　Based on in-depth study of the existing data mining and association rule mining algorithms,a new mining algorithm of weighted association rules is proposed.By introducing a support factor of thc weighted frequent item sets,a reasonable minimum support is set.The algorithm does not need to repeatedly scan the database in the discovery of frequent item sets,so it greatly reduces the time of input and output,and improves the efficiency of data mining.

关键词： Data mining Association rules Apriori algorithm Frequent item set

作者: Lei Chen

作者单位: Basic Courses Teaching Department, The Chinese Peoples Armed Police Force Academy Langfang 065000, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 548-551

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）