南华大学学报：社会科学版2011，Vol.12Issue(5)：55-57,3.
孤立点数据挖掘技术在审计信息化中的应用研究
Application of auditing Informationization with the Outlier Data Mining Technology
摘要
Abstract
Outlier analysis technology is an important problem in data mining, which can be widely applied to telecommunications, credit card fraud detection, loan approval, customer classification, weather forecast and network intrusion detection and other fields. In the audit work, outlier detection algorithm can also be wed for audit data judgment and detecting the abnormal presence, helping auditors find hidden audit trail and improve audit efficiency. Outlier data mining technology has better practical value than discovering regularities in the other mining technology.关键词
审计信息化/孤立点分析/数据挖掘Key words
auditing informationization/outlier analysis/data mining分类
管理科学引用本文复制引用
周喜,曾丽..孤立点数据挖掘技术在审计信息化中的应用研究[J].南华大学学报：社会科学版,2011,12(5):55-57,3.基金项目
湖南省教育厅科学研究项目资助 （）
湖南省教育科学“十二五”规划项目资助 （）
