Application of Weighted Association Rules Mining in Audit

摘要：

This paper advances a new algorithm of weighted association rules mining,which supports effective mining of data associations from an extensive database system.In view of an audit case mines interrelationships of the eight factors that shape bad debts so as to collect useful audit information,improve auditing efficiency.Experiment results show that the new algorithm is effective for large database.

关键词： Computer audit Data Mining Weighted Association rules

作者: Zhongming Ye Haiyan Xue Yan Wang Lingling Li

作者单位: Scientific Research Department ZZIA Zhengzhou,China Department of Computer Science and Application ZZIA Zhengzhou,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 202-205

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）