Design and Implementation of Improved Algorithm for Association Rules Mining

摘要：

　　For traditional algorithm of association rules mining based on frequent item sets and ignored the exception rules,as well as the traditional issues such as frequent item sets algorithm can be costly,a new association rules mining algorithm which isnt based on frequent item sets is given in this paper.This method scanned the database once firstly,and then uses the logical and set theory operations to generate association rules,including frequent association rules and exception rules.Through case analysis,results showed that the algorithm with high accuracy,low cost,and the ability to generate exception rules could provide some reference data for exception knowledge mining.

关键词： association rules data mining frequent item sets algorithm exception rules

作者: ZHANG Lin ZHANG Jian-li

作者单位: Dept.of Computer Science and Technology AnHui SanLian University HeFei,AnHui,P.R.C.,230000 New Star Institute of Applied Technology NO.451,Huangshan Road Hefei,Ahhui,P.R.C.,230031

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 308-311

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）